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	<id>https://hivelab.biochemistry.gwu.edu/wiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Maria.kim</id>
	<title>HIVE Lab - User contributions [en]</title>
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	<updated>2026-09-16T02:11:39Z</updated>
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		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2026&amp;diff=1372</id>
		<title>Volunteership Fall 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2026&amp;diff=1372"/>
		<updated>2026-09-08T16:40:03Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Fall Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22th | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date: August 28th | 4:00 PM - 5:00 PM ET&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: 9/7/2026 - 12/6/2026&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the [[Volunteership Fall 2026#Potential Projects|projects]] that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Spring 2026 Volunteership]]&lt;br /&gt;
&lt;br /&gt;
Presentation slides from the Spring 2026 volunteership symposium are publicly available on Zenodo to highlight student research contributions from the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week. If you want to commit more hours please let us know.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Volunteers should be responsive to email/slack communications.&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Volunteers are expected to attend volunteership events such as a symposium.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
# This volunteership does not allow for vacation time.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; &#039;&#039;&#039;If the scrum is not updated for 2 consecutive working days,&#039;&#039;&#039; &#039;&#039;&#039;the candidate will be automatically dropped from the program.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteership Support ===&lt;br /&gt;
Each group has dedicated Points of Contact (PoCs) who are your main resource for questions and guidance.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to Get Help&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Slack Group Channel&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Use your group Slack channel as the primary place to ask questions and share ideas. This is strongly encouraged so everyone can learn together. Direct messages to PoCs are discouraged.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Office Hours&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
PoCs will host group office hours every two weeks once the program begins. These sessions are a space to ask questions, discuss ideas, and collaborate live.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to get support&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- Use the Slack channel as your first point of contact (if you are not yet in the Slack channel, then email your PoC at mazumder_lab AT gwu.edu)&lt;br /&gt;
&lt;br /&gt;
- Follow up with your PoCs in the group channel&lt;br /&gt;
&lt;br /&gt;
- Come prepared with questions for office hours&lt;br /&gt;
&lt;br /&gt;
- Participate in discussions and support your peers&lt;br /&gt;
&lt;br /&gt;
Our goal is to create an open, collaborative environment where everyone can learn and contribute.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. Glycoscience Resource Discovery and Search Platform ====&lt;br /&gt;
POC: Rene Ranzinger &lt;br /&gt;
&lt;br /&gt;
The goal of this project is to develop a production-ready search and discovery platform for glycoscience databases and software tools. The volunteer will enhance an existing prototype that provides a modern, user-friendly alternative to traditional resource catalogs. The platform will enable researchers to efficiently discover relevant databases, software tools, and analytical resources based on their scientific needs.&lt;br /&gt;
&lt;br /&gt;
A major component of the project will be expanding the underlying resource catalog to include not only databases but also software tools and analysis platforms. The volunteer will improve the platform&#039;s filtering and search capabilities and investigate how LLMs can be incorporated to support natural language queries  &lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]  &lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen AI-Assisted Biocuration Project: Species, Tissue, and Disease Annotation ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to improve and expand GlyGen&#039;s AI-assisted biocuration workflows for metadata normalization and ontology mapping. The volunteer will review the existing species annotation pipeline, evaluate its performance, and refine the species-specific system prompt used by the LLM. Based on lessons learned from species mapping, the project will then extend the methodology to additional biomedical concepts, particularly tissue and disease annotations.&lt;br /&gt;
&lt;br /&gt;
A major focus of the project will be prompt engineering, performance evaluation, and quality assessment. The student will investigate how well the LLM can identify the correct ontology terms when presented with real-world biomedical metadata containing abbreviations, synonyms, misspellings, and incomplete descriptions.&lt;br /&gt;
&lt;br /&gt;
The resulting workflows will support GlyGen&#039;s ongoing efforts to harmonize metadata from publications, databases, and legacy resources, ultimately improving data quality and interoperability across the glycoscience ecosystem.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
==== 3. GlyGen Publication Analysis Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to further develop and expand an existing publication analysis and visualization framework that can be used to characterize and understand scientific research communities. Rather than focusing on a single predefined research domain, the analysis framework is designed to support dynamic community discovery through keyword-based literature searches. Publications identified through these searches will then be included in downstream analyses and graphically represented in form of charts, diagrams or graphs.&lt;br /&gt;
&lt;br /&gt;
The resulting analyses will help answer questions such as:&lt;br /&gt;
&lt;br /&gt;
* How large is a particular research community?&lt;br /&gt;
* Where are its researchers geographically located?&lt;br /&gt;
* Which institutions and investigators are most active?&lt;br /&gt;
* Which organizations appear to be central contributors to the field?&lt;br /&gt;
* Which research groups overlap with GlyGen&#039;s current user and collaborator communities?&lt;br /&gt;
&lt;br /&gt;
* Which potentially important communities or research groups are currently underrepresented in GlyGen outreach efforts?&lt;br /&gt;
&lt;br /&gt;
Ultimately, the analysis may be integrated with GlyGen usage metrics, such as Google Analytics data, to identify regions and research hotspots where glycobiology research is active, but GlyGen adoption appears limited. Such information can help guide future outreach, training, and community engagement activities.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Glycoscience Educational Chatbot&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
POC: Sujeet Kulkarni&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to develop a beta version of the Glycoscience Educational Chatbot that can be deployed on a web server and evaluated by a pilot group of users. The student will analyze the strengths and limitations of the current alpha version and implement improvements that enhance usability, reliability, performance, and safety. Particular emphasis will be placed on improving the system&amp;amp;amp;#39;s guardrails to ensure that responses remain focused on educational content, minimize hallucinations, and appropriately handle questions outside the scope of the knowledge base. The completed beta version will support formal user testing by researchers and&lt;br /&gt;
&lt;br /&gt;
educators, providing valuable feedback for future development and broader deployment.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
==== 5. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets &amp;amp; trained model scripts pushed to GitHub&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to pmcneely@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 6. BiomarkerKB Biocuration Project ====&lt;br /&gt;
POC: Jeet Vora (primary), Maria Kim, Cyrus Au-Yeung&lt;br /&gt;
&lt;br /&gt;
[https://biomarkerkb.org/about/ BiomarkerKB] is a biomedical knowledgebase project focused on harmonizing and structuring biomarker knowledge from scientific literature and public resources. We are currently recruiting individuals with experience working with LLMs (e.g. Claude, ChatGPT) to support the following tasks:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Validation of existing published biomarkers from scientific literature (JV, MK, CA)&#039;&#039;&#039;&lt;br /&gt;
#* Review and validate previously reported biomarkers by checking the original literature, confirming evidence support, and standardizing biomarker annotations&lt;br /&gt;
#* Assess the evidence strength of biomarkers and identify additional literature to strengthen the support for biomarker claims&lt;br /&gt;
# &#039;&#039;&#039;Curation of novel biomarkers from scientific literature (MK)&#039;&#039;&#039;&lt;br /&gt;
#* Curate high-quality biomarkers for a selected disease area, organize the findings into a structured dataset&lt;br /&gt;
#* Standardize biomarker representations using controlled vocabularies and ontologies and classify biomarkers by their biomarker types&lt;br /&gt;
#* Construct and test-query a disease-specific biomarker knowledge graph (optional)&lt;br /&gt;
# &#039;&#039;&#039;Electronic Health Records Normal Entity Data Integration (JV)&#039;&#039;&#039;&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# &#039;&#039;&#039;Front-end testing for BiomarkerKB.org (MK, JV)&#039;&#039;&#039;&lt;br /&gt;
#* Test the BiomarkerKB web interface for functionality and data presentation, and document issues / improvement suggestions for the development team&lt;br /&gt;
# &#039;&#039;&#039;Benchmarking and LLM-based biomarker extraction (optional*) (CA)&#039;&#039;&#039;&lt;br /&gt;
#* Construct manually curated biomarker reference sets in the glycobiology domain to support benchmarking of LLM-based knowledge extraction pipelines.&lt;br /&gt;
#* Apply an LLM workflow to extract disease-specific biomarkers from literature and comparing model outputs against the manually curated benchmark sets&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; Participation in the benchmarking and LLM-based biomarker extraction subproject depends on sufficient progress in either task 1 or task 2. Volunteers are expected to first complete either validation of an LLM-extracted glycobiology subset or comprehensive curation of a disease-specific biomarker set before beginning this component. Because this volunteership is structured around a 20-hour-per-week commitment, participation in this part is not guaranteed.&lt;br /&gt;
&lt;br /&gt;
Individuals interested in this opportunity may reach out to Jeet Vora ([mailto:jeetvora@gwu.edu jeetvora@gwu.edu]) for project details.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&#039;&#039;&#039;Volunteers&#039;&#039;&#039;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Project Interested&lt;br /&gt;
|-&lt;br /&gt;
|Rhea Charles&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Sri Piramanayagam&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Aryan Jagani&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Taylor Dimenna&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Daniel Auerbach*&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Shashank Kesineni&lt;br /&gt;
| GlyGen&lt;br /&gt;
| Urnisha and Rene&lt;br /&gt;
| GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Jumana Mahfouz&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Swapnaneel Chatterjee&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Sujeet and Rene&lt;br /&gt;
|GlyGen AI ChatBot &lt;br /&gt;
|-&lt;br /&gt;
|Luis Jimenez&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Pratik Shetty&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Pradnya Tendolkar&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Anthony Achkar&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;GW Masters Degree Student&lt;br /&gt;
&lt;br /&gt;
&amp;lt;sup&amp;gt;‡&amp;lt;/sup&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Fall 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2026&amp;diff=1371</id>
		<title>Volunteership Fall 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2026&amp;diff=1371"/>
		<updated>2026-08-31T17:07:18Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Fall Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22th | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date: August 28th | 4:00 PM - 5:00 PM ET&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: 9/7/2026 - 12/6/2026&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the [[Volunteership Fall 2026#Potential Projects|projects]] that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Spring 2026 Volunteership]]&lt;br /&gt;
&lt;br /&gt;
Presentation slides from the Spring 2026 volunteership symposium are publicly available on Zenodo to highlight student research contributions from the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week. If you want to commit more hours please let us know.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Volunteers should be responsive to email/slack communications.&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Volunteers are expected to attend volunteership events such as a symposium.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
# This volunteership does not allow for vacation time.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; &#039;&#039;&#039;If the scrum is not updated for 2 consecutive working days,&#039;&#039;&#039; &#039;&#039;&#039;the candidate will be automatically dropped from the program.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteership Support ===&lt;br /&gt;
Each group has dedicated Points of Contact (PoCs) who are your main resource for questions and guidance.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to Get Help&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Slack Group Channel&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Use your group Slack channel as the primary place to ask questions and share ideas. This is strongly encouraged so everyone can learn together. Direct messages to PoCs are discouraged.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Office Hours&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
PoCs will host group office hours every two weeks once the program begins. These sessions are a space to ask questions, discuss ideas, and collaborate live.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to get support&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- Use the Slack channel as your first point of contact (if you are not yet in the Slack channel, then email your PoC at mazumder_lab AT gwu.edu)&lt;br /&gt;
&lt;br /&gt;
- Follow up with your PoCs in the group channel&lt;br /&gt;
&lt;br /&gt;
- Come prepared with questions for office hours&lt;br /&gt;
&lt;br /&gt;
- Participate in discussions and support your peers&lt;br /&gt;
&lt;br /&gt;
Our goal is to create an open, collaborative environment where everyone can learn and contribute.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. Glycoscience Resource Discovery and Search Platform ====&lt;br /&gt;
POC: Rene Ranzinger &lt;br /&gt;
&lt;br /&gt;
The goal of this project is to develop a production-ready search and discovery platform for glycoscience databases and software tools. The volunteer will enhance an existing prototype that provides a modern, user-friendly alternative to traditional resource catalogs. The platform will enable researchers to efficiently discover relevant databases, software tools, and analytical resources based on their scientific needs.&lt;br /&gt;
&lt;br /&gt;
A major component of the project will be expanding the underlying resource catalog to include not only databases but also software tools and analysis platforms. The volunteer will improve the platform&#039;s filtering and search capabilities and investigate how LLMs can be incorporated to support natural language queries  &lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]  &lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen AI-Assisted Biocuration Project: Species, Tissue, and Disease Annotation ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to improve and expand GlyGen&#039;s AI-assisted biocuration workflows for metadata normalization and ontology mapping. The volunteer will review the existing species annotation pipeline, evaluate its performance, and refine the species-specific system prompt used by the LLM. Based on lessons learned from species mapping, the project will then extend the methodology to additional biomedical concepts, particularly tissue and disease annotations.&lt;br /&gt;
&lt;br /&gt;
A major focus of the project will be prompt engineering, performance evaluation, and quality assessment. The student will investigate how well the LLM can identify the correct ontology terms when presented with real-world biomedical metadata containing abbreviations, synonyms, misspellings, and incomplete descriptions.&lt;br /&gt;
&lt;br /&gt;
The resulting workflows will support GlyGen&#039;s ongoing efforts to harmonize metadata from publications, databases, and legacy resources, ultimately improving data quality and interoperability across the glycoscience ecosystem.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
==== 3. GlyGen Publication Analysis Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to further develop and expand an existing publication analysis and visualization framework that can be used to characterize and understand scientific research communities. Rather than focusing on a single predefined research domain, the analysis framework is designed to support dynamic community discovery through keyword-based literature searches. Publications identified through these searches will then be included in downstream analyses and graphically represented in form of charts, diagrams or graphs.&lt;br /&gt;
&lt;br /&gt;
The resulting analyses will help answer questions such as:&lt;br /&gt;
&lt;br /&gt;
* How large is a particular research community?&lt;br /&gt;
* Where are its researchers geographically located?&lt;br /&gt;
* Which institutions and investigators are most active?&lt;br /&gt;
* Which organizations appear to be central contributors to the field?&lt;br /&gt;
* Which research groups overlap with GlyGen&#039;s current user and collaborator communities?&lt;br /&gt;
&lt;br /&gt;
* Which potentially important communities or research groups are currently underrepresented in GlyGen outreach efforts?&lt;br /&gt;
&lt;br /&gt;
Ultimately, the analysis may be integrated with GlyGen usage metrics, such as Google Analytics data, to identify regions and research hotspots where glycobiology research is active, but GlyGen adoption appears limited. Such information can help guide future outreach, training, and community engagement activities.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Glycoscience Educational Chatbot&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
POC: Sujeet Kulkarni&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to develop a beta version of the Glycoscience Educational Chatbot that can be deployed on a web server and evaluated by a pilot group of users. The student will analyze the strengths and limitations of the current alpha version and implement improvements that enhance usability, reliability, performance, and safety. Particular emphasis will be placed on improving the system&amp;amp;amp;#39;s guardrails to ensure that responses remain focused on educational content, minimize hallucinations, and appropriately handle questions outside the scope of the knowledge base. The completed beta version will support formal user testing by researchers and&lt;br /&gt;
&lt;br /&gt;
educators, providing valuable feedback for future development and broader deployment.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
==== 5. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets &amp;amp; trained model scripts pushed to GitHub&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to pmcneely@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 6. BiomarkerKB Biocuration Project ====&lt;br /&gt;
POC: Jeet Vora (primary), Maria Kim, Cyrus Au-Yeung&lt;br /&gt;
&lt;br /&gt;
[https://biomarkerkb.org/about/ BiomarkerKB] is a biomedical knowledgebase project focused on harmonizing and structuring biomarker knowledge from scientific literature and public resources. We are currently recruiting individuals with experience working with LLMs (e.g. Claude, ChatGPT) to support the following tasks:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Validation of existing published biomarkers from scientific literature (JV, MK, CA)&#039;&#039;&#039;&lt;br /&gt;
#* Review and validate previously reported biomarkers by checking the original literature, confirming evidence support, and standardizing biomarker annotations&lt;br /&gt;
#* Assess the evidence strength of biomarkers and identify additional literature to strengthen the support for biomarker claims&lt;br /&gt;
# &#039;&#039;&#039;Curation of novel biomarkers from scientific literature (MK)&#039;&#039;&#039;&lt;br /&gt;
#* Curate high-quality biomarkers for a selected disease area, organize the findings into a structured dataset&lt;br /&gt;
#* Standardize biomarker representations using controlled vocabularies and ontologies and classify biomarkers by their biomarker types&lt;br /&gt;
#* Construct and test-query a disease-specific biomarker knowledge graph (optional)&lt;br /&gt;
# &#039;&#039;&#039;Electronic Health Records Normal Entity Data Integration (JV)&#039;&#039;&#039;&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# &#039;&#039;&#039;Front-end testing for BiomarkerKB.org (MK, JV)&#039;&#039;&#039;&lt;br /&gt;
#* Test the BiomarkerKB web interface for functionality and data presentation, and document issues / improvement suggestions for the development team&lt;br /&gt;
# &#039;&#039;&#039;Benchmarking and LLM-based biomarker extraction (optional*) (CA)&#039;&#039;&#039;&lt;br /&gt;
#* Construct manually curated biomarker reference sets in the glycobiology domain to support benchmarking of LLM-based knowledge extraction pipelines.&lt;br /&gt;
#* Apply an LLM workflow to extract disease-specific biomarkers from literature and comparing model outputs against the manually curated benchmark sets&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; Participation in the benchmarking and LLM-based biomarker extraction subproject depends on sufficient progress in either task 1 or task 2. Volunteers are expected to first complete either validation of an LLM-extracted glycobiology subset or comprehensive curation of a disease-specific biomarker set before beginning this component. Because this volunteership is structured around a 20-hour-per-week commitment, participation in this part is not guaranteed.&lt;br /&gt;
&lt;br /&gt;
Individuals interested in this opportunity may reach out to Jeet Vora ([mailto:jeetvora@gwu.edu jeetvora@gwu.edu]) for project details.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&#039;&#039;&#039;Volunteers&#039;&#039;&#039;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Project Interested&lt;br /&gt;
|-&lt;br /&gt;
|Rhea Charles&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Sri Piramanayagam&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Aryan Jagani&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Taylor Dimenna&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Daniel Auerbach*&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Shashank Kesineni&lt;br /&gt;
| GlyGen&lt;br /&gt;
| Urnisha and Rene&lt;br /&gt;
| GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Jumana Mahfouz&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Swapnaneel Chatterjee&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Sujeet and Rene&lt;br /&gt;
|GlyGen AI ChatBot &lt;br /&gt;
|-&lt;br /&gt;
|Luis Jimenez&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Pratik Shetty&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Pradnya Tendolkar&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;GW Masters Degree Student&lt;br /&gt;
&lt;br /&gt;
&amp;lt;sup&amp;gt;‡&amp;lt;/sup&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Fall 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2026&amp;diff=1370</id>
		<title>Volunteership Fall 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2026&amp;diff=1370"/>
		<updated>2026-08-28T20:40:08Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Fall Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22th | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date: August 28th | 4:00 PM - 5:00 PM ET&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: 9/7/2026 - 12/6/2026&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the [[Volunteership Fall 2026#Potential Projects|projects]] that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Spring 2026 Volunteership]]&lt;br /&gt;
&lt;br /&gt;
Presentation slides from the Spring 2026 volunteership symposium are publicly available on Zenodo to highlight student research contributions from the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week. If you want to commit more hours please let us know.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Volunteers should be responsive to email/slack communications.&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Volunteers are expected to attend volunteership events such as a symposium.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
# This volunteership does not allow for vacation time.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; &#039;&#039;&#039;If the scrum is not updated for 2 consecutive working days,&#039;&#039;&#039; &#039;&#039;&#039;the candidate will be automatically dropped from the program.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteership Support ===&lt;br /&gt;
Each group has dedicated Points of Contact (PoCs) who are your main resource for questions and guidance.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to Get Help&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Slack Group Channel&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Use your group Slack channel as the primary place to ask questions and share ideas. This is strongly encouraged so everyone can learn together. Direct messages to PoCs are discouraged.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Office Hours&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
PoCs will host group office hours every two weeks once the program begins. These sessions are a space to ask questions, discuss ideas, and collaborate live.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to get support&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- Use the Slack channel as your first point of contact (if you are not yet in the Slack channel, then email your PoC at mazumder_lab AT gwu.edu)&lt;br /&gt;
&lt;br /&gt;
- Follow up with your PoCs in the group channel&lt;br /&gt;
&lt;br /&gt;
- Come prepared with questions for office hours&lt;br /&gt;
&lt;br /&gt;
- Participate in discussions and support your peers&lt;br /&gt;
&lt;br /&gt;
Our goal is to create an open, collaborative environment where everyone can learn and contribute.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. Glycoscience Resource Discovery and Search Platform ====&lt;br /&gt;
POC: Rene Ranzinger &lt;br /&gt;
&lt;br /&gt;
The goal of this project is to develop a production-ready search and discovery platform for glycoscience databases and software tools. The volunteer will enhance an existing prototype that provides a modern, user-friendly alternative to traditional resource catalogs. The platform will enable researchers to efficiently discover relevant databases, software tools, and analytical resources based on their scientific needs.&lt;br /&gt;
&lt;br /&gt;
A major component of the project will be expanding the underlying resource catalog to include not only databases but also software tools and analysis platforms. The volunteer will improve the platform&#039;s filtering and search capabilities and investigate how LLMs can be incorporated to support natural language queries  &lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]  &lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen AI-Assisted Biocuration Project: Species, Tissue, and Disease Annotation ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to improve and expand GlyGen&#039;s AI-assisted biocuration workflows for metadata normalization and ontology mapping. The volunteer will review the existing species annotation pipeline, evaluate its performance, and refine the species-specific system prompt used by the LLM. Based on lessons learned from species mapping, the project will then extend the methodology to additional biomedical concepts, particularly tissue and disease annotations.&lt;br /&gt;
&lt;br /&gt;
A major focus of the project will be prompt engineering, performance evaluation, and quality assessment. The student will investigate how well the LLM can identify the correct ontology terms when presented with real-world biomedical metadata containing abbreviations, synonyms, misspellings, and incomplete descriptions.&lt;br /&gt;
&lt;br /&gt;
The resulting workflows will support GlyGen&#039;s ongoing efforts to harmonize metadata from publications, databases, and legacy resources, ultimately improving data quality and interoperability across the glycoscience ecosystem.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
==== 3. GlyGen Publication Analysis Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to further develop and expand an existing publication analysis and visualization framework that can be used to characterize and understand scientific research communities. Rather than focusing on a single predefined research domain, the analysis framework is designed to support dynamic community discovery through keyword-based literature searches. Publications identified through these searches will then be included in downstream analyses and graphically represented in form of charts, diagrams or graphs.&lt;br /&gt;
&lt;br /&gt;
The resulting analyses will help answer questions such as:&lt;br /&gt;
&lt;br /&gt;
* How large is a particular research community?&lt;br /&gt;
* Where are its researchers geographically located?&lt;br /&gt;
* Which institutions and investigators are most active?&lt;br /&gt;
* Which organizations appear to be central contributors to the field?&lt;br /&gt;
* Which research groups overlap with GlyGen&#039;s current user and collaborator communities?&lt;br /&gt;
&lt;br /&gt;
* Which potentially important communities or research groups are currently underrepresented in GlyGen outreach efforts?&lt;br /&gt;
&lt;br /&gt;
Ultimately, the analysis may be integrated with GlyGen usage metrics, such as Google Analytics data, to identify regions and research hotspots where glycobiology research is active, but GlyGen adoption appears limited. Such information can help guide future outreach, training, and community engagement activities.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. Glycoscience Educational Chatbot&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
POC: Sujeet Kulkarni&lt;br /&gt;
&lt;br /&gt;
The goal of this project is to develop a beta version of the Glycoscience Educational Chatbot that can be deployed on a web server and evaluated by a pilot group of users. The student will analyze the strengths and limitations of the current alpha version and implement improvements that enhance usability, reliability, performance, and safety. Particular emphasis will be placed on improving the system&amp;amp;amp;#39;s guardrails to ensure that responses remain focused on educational content, minimize hallucinations, and appropriately handle questions outside the scope of the knowledge base. The completed beta version will support formal user testing by researchers and&lt;br /&gt;
&lt;br /&gt;
educators, providing valuable feedback for future development and broader deployment.&lt;br /&gt;
&lt;br /&gt;
[[:File:GlyGen Volunteership (Fall 2026).pdf|Further information can be found here]]&lt;br /&gt;
&lt;br /&gt;
==== 5. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets &amp;amp; trained model scripts pushed to GitHub&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to pmcneely@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 6. BiomarkerKB Biocuration Project ====&lt;br /&gt;
POC: Jeet Vora (primary), Maria Kim, Cyrus Au-Yeung&lt;br /&gt;
&lt;br /&gt;
[https://biomarkerkb.org/about/ BiomarkerKB] is a biomedical knowledgebase project focused on harmonizing and structuring biomarker knowledge from scientific literature and public resources. We are currently recruiting individuals with experience working with LLMs (e.g. Claude, ChatGPT) to support the following tasks:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Validation of existing published biomarkers from scientific literature (JV, MK, CA)&#039;&#039;&#039;&lt;br /&gt;
#* Review and validate previously reported biomarkers by checking the original literature, confirming evidence support, and standardizing biomarker annotations&lt;br /&gt;
#* Assess the evidence strength of biomarkers and identify additional literature to strengthen the support for biomarker claims&lt;br /&gt;
# &#039;&#039;&#039;Curation of novel biomarkers from scientific literature (MK)&#039;&#039;&#039;&lt;br /&gt;
#* Curate high-quality biomarkers for a selected disease area, organize the findings into a structured dataset&lt;br /&gt;
#* Standardize biomarker representations using controlled vocabularies and ontologies and classify biomarkers by their biomarker types&lt;br /&gt;
#* Construct and test-query a disease-specific biomarker knowledge graph (optional)&lt;br /&gt;
# &#039;&#039;&#039;Electronic Health Records Normal Entity Data Integration (JV)&#039;&#039;&#039;&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# &#039;&#039;&#039;Front-end testing for BiomarkerKB.org (MK, JV)&#039;&#039;&#039;&lt;br /&gt;
#* Test the BiomarkerKB web interface for functionality and data presentation, and document issues / improvement suggestions for the development team&lt;br /&gt;
# &#039;&#039;&#039;Benchmarking and LLM-based biomarker extraction (optional*) (CA)&#039;&#039;&#039;&lt;br /&gt;
#* Construct manually curated biomarker reference sets in the glycobiology domain to support benchmarking of LLM-based knowledge extraction pipelines.&lt;br /&gt;
#* Apply an LLM workflow to extract disease-specific biomarkers from literature and comparing model outputs against the manually curated benchmark sets&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; Participation in the benchmarking and LLM-based biomarker extraction subproject depends on sufficient progress in either task 1 or task 2. Volunteers are expected to first complete either validation of an LLM-extracted glycobiology subset or comprehensive curation of a disease-specific biomarker set before beginning this component. Because this volunteership is structured around a 20-hour-per-week commitment, participation in this part is not guaranteed.&lt;br /&gt;
&lt;br /&gt;
Individuals interested in this opportunity may reach out to Jeet Vora ([mailto:jeetvora@gwu.edu jeetvora@gwu.edu]) for project details.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&#039;&#039;&#039;Volunteers&#039;&#039;&#039;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Project Interested&lt;br /&gt;
|-&lt;br /&gt;
|Rhea Charles&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Sri Piramanayagam&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Aryan Jagani&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Pat McNeely&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Taylor Dimenna&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Daniel Auerbach*&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Shashank Kesineni&lt;br /&gt;
| GlyGen&lt;br /&gt;
| Urnisha and Rene&lt;br /&gt;
| GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Jumana Mahfouz&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Swapnaneel Chatterjee&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Sujeet and Rene&lt;br /&gt;
|GlyGen AI ChatBot &lt;br /&gt;
|-&lt;br /&gt;
|Luis Jimenez&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha and Rene&lt;br /&gt;
|GlyGen AI-Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Pratik Shetty&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Pradnya Tendolkar&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Elizabeth Banda-Arnold&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus, Maria, Jeet&lt;br /&gt;
|BiomarkerKB Biocuration&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;sup&amp;gt;†&amp;lt;/sup&amp;gt;GW Masters Degree Student&lt;br /&gt;
&lt;br /&gt;
&amp;lt;sup&amp;gt;‡&amp;lt;/sup&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Fall 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1289</id>
		<title>Volunteership Summer 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1289"/>
		<updated>2026-05-22T14:03:14Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* Volunteers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Summer Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
May 15, 2026 | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
Please email your updated resume and projects in order of preference. Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date TBD | 11:00 AM to 12:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: June 1, 2026 –  July 31, 2026&#039;&#039;&#039; (9 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Spring 2026 Volunteership]]&lt;br /&gt;
&lt;br /&gt;
Presentation slides from the Spring 2026 volunteership symposium are publicly available on [https://zenodo.org/records/20072087 Zenodo] to highlight student research contributions from the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 20 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Volunteers should be responsive to email/slack communications. &lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Volunteers are expected to attend volunteership events such as a symposium.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
# This volunteership does not allow for vacation time.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; &#039;&#039;&#039;If the scrum is not updated for 2 consecutive working days,&#039;&#039;&#039; &#039;&#039;&#039;the candidate will be automatically dropped from the program.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteership Support ===&lt;br /&gt;
Each group has dedicated Points of Contact (PoCs) who are your main resource for questions and guidance.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to Get Help&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Slack Group Channel&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Use your group Slack channel as the primary place to ask questions and share ideas. This is strongly encouraged so everyone can learn together. Direct messages to PoCs are discouraged.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Office Hours&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
PoCs will host group office hours every two weeks once the program begins. These sessions are a space to ask questions, discuss ideas, and collaborate live.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to get support&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- Use the Slack channel as your first point of contact (if you are not yet in the Slack channel, then email your PoC at mazumder_lab AT gwu.edu)&lt;br /&gt;
&lt;br /&gt;
- Follow up with your PoCs in the group channel&lt;br /&gt;
&lt;br /&gt;
- Come prepared with questions for office hours&lt;br /&gt;
&lt;br /&gt;
- Participate in discussions and support your peers&lt;br /&gt;
&lt;br /&gt;
Our goal is to create an open, collaborative environment where everyone can learn and contribute.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. GlycoSiteMiner Curation Project ====&lt;br /&gt;
POC: Kate Warner  &lt;br /&gt;
&lt;br /&gt;
GlycoSiteMiner (PMID: [https://pubmed.ncbi.nlm.nih.gov/40401984/ 40401984]) is a large language model (LLM)-based tool developed by the GlyGen team to automate a literature-mining pipeline that extracts experimentally validated, protein sequence–specific glycosylation sites from PubMed abstracts. By leveraging natural language processing, GlycoSiteMiner accelerates the identification of glycosylation evidence that would otherwise require extensive manual review.&lt;br /&gt;
&lt;br /&gt;
The objective of this project is to validate these text-mined entries and curate them into structured datasets using GlyTableMaker (https://glygen.ccrc.uga.edu/tablemaker), a companion tool designed to support the deposition of glycans and glycoproteins, assignment of standardized metadata, and generation of high-quality Excel/CSV tables. This process ensures that extracted information is accurate, consistent, and suitable for integration into GlyGen’s knowledgebase.&lt;br /&gt;
&lt;br /&gt;
This opportunity provides hands-on experience in biocuration workflows, including data validation, standardization, and quality control. Participants will deepen their understanding of glycobiology concepts, gain practical experience working with biological databases, and develop skills in evaluating and refining LLM-generated outputs for scientific applications.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding; however, the data contained within them remains highly valuable to the research community. Integrating these legacy datasets into modern databases or knowledgebases, such as GlyGen, presents a significant challenge because much of the associated metadata (e.g., species, tissue, disease, cell line) is recorded as free-text that does not conform to the standardized dictionaries and ontologies used by current resources.&lt;br /&gt;
&lt;br /&gt;
To address this challenge, this project will leverage large language models (LLMs) to automate the mapping of free-text metadata from legacy databases, specifically CarbBank and CFG, to standardized accessions in authoritative resources such as NCBI Taxonomy, Disease Ontology, and Cellosaurus. The LLM-based workflow will identify and normalize synonyms, abbreviations, and spelling variants (e.g., “human,” “man,” or “h. sapiens” mapped to Homo sapiens), enabling scalable and reproducible metadata harmonization that would otherwise require extensive manual curation. The LLM tasks will be performed using OpenAI resources integrated into the GlyGen curation pipeline. The project involves the development of Python scripts to read and write data, invoke the OpenAI API and compare results with manual curated data. Another aspect of the work is the development and finetunning of a prompt for ChatGPT to ensure reliable and accurate mapping is produced.&lt;br /&gt;
&lt;br /&gt;
While the mapping process will be largely automated, manual validation will be incorporated as a quality-control step to assess model performance, verify correctness, and identify edge cases requiring refinement. This hybrid approach significantly reduces curator burden while ensuring high-quality, ontology-aligned annotations.&lt;br /&gt;
&lt;br /&gt;
The goal of this effort is to migrate and modernize datasets from CarbBank and CFG, making them interoperable with GlyGen and other contemporary glycoinformatics resources through a scalable, AI-assisted curation strategy.&lt;br /&gt;
&lt;br /&gt;
Two projects:&lt;br /&gt;
&lt;br /&gt;
# Taking predicted sites and curating them using table maker&lt;br /&gt;
# Website testing (all volunteers)&lt;br /&gt;
&lt;br /&gt;
For any questions, please contact Rene Ranzinger (rene@ccrc.uga.edu) or Kate Warner (k.warner1@email.gwu.edu).&lt;br /&gt;
&lt;br /&gt;
==== 3. GlyGen Publication Analysis Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets &amp;amp; trained model scripts pushed to GitHub&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 5. BioCompute Objects User Research Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct individual audits and user researcher to improve the human readability of BioCompute Objects (BCOs) and the project documentation. This volunteership will involve user research, prototyping, and documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with the project include:&lt;br /&gt;
&lt;br /&gt;
# Reviewing existing documentation to gain a comprehensive understanding of BioCompute Objects, their relevance to bioinformatics, and key user personas. The volunteer will identify and report gaps in the current documentation.&lt;br /&gt;
# Conducting user research to understand pain points and desired outcomes. The volunteer will develop user stories based on interviews with BCO users.&lt;br /&gt;
# Prototyping improvements to the BCO documentation and/or portal based on user stories. This could involve visual diagrams, wiki restructuring, or decision logs.&lt;br /&gt;
&lt;br /&gt;
Deliverables will include:&lt;br /&gt;
&lt;br /&gt;
# User research report with user story maps&lt;br /&gt;
# BCO documentation improvement plan&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 6. BiomarkerKB Biocuration Project ====&lt;br /&gt;
POC: Jeet Vora (primary), Maria Kim, Cyrus Au-Yeung&lt;br /&gt;
&lt;br /&gt;
[https://biomarkerkb.org/about/ BiomarkerKB] is a biomedical knowledgebase project focused on harmonizing and structuring biomarker knowledge from scientific literature and public resources. We are currently recruiting individuals with experience working with LLMs (e.g. Claude, ChatGPT) to support the following tasks:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Validation of existing published biomarkers from scientific literature (JV, MK, CA)&#039;&#039;&#039;&lt;br /&gt;
#* Review and validate previously reported biomarkers by checking the original literature, confirming evidence support, and standardizing biomarker annotations&lt;br /&gt;
#* Assess the evidence strength of biomarkers and identify additional literature to strengthen the support for biomarker claims&lt;br /&gt;
# &#039;&#039;&#039;Curation of novel biomarkers from scientific literature (MK)&#039;&#039;&#039;&lt;br /&gt;
#* Curate high-quality biomarkers for a selected disease area, organize the findings into a structured dataset&lt;br /&gt;
#* Standardize biomarker representations using controlled vocabularies and ontologies and classify biomarkers by their biomarker types&lt;br /&gt;
#* Construct and test-query a disease-specific biomarker knowledge graph (optional)&lt;br /&gt;
# &#039;&#039;&#039;Electronic Health Records Normal Entity Data Integration (JV)&#039;&#039;&#039;&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# &#039;&#039;&#039;Front-end testing for BiomarkerKB.org (MK, JV)&#039;&#039;&#039;&lt;br /&gt;
#* Test the BiomarkerKB web interface for functionality and data presentation, and document issues / improvement suggestions for the development team&lt;br /&gt;
# &#039;&#039;&#039;Benchmarking and LLM-based biomarker extraction (optional*) (CA)&#039;&#039;&#039;&lt;br /&gt;
#* Construct manually curated biomarker reference sets in the glycobiology domain to support benchmarking of LLM-based knowledge extraction pipelines.&lt;br /&gt;
#* Apply an LLM workflow to extract disease-specific biomarkers from literature and comparing model outputs against the manually curated benchmark sets&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; Participation in the benchmarking and LLM-based biomarker extraction subproject depends on sufficient progress in either task 1 or task 2. Volunteers are expected to first complete either validation of an LLM-extracted glycobiology subset or comprehensive curation of a disease-specific biomarker set before beginning this component. Because this volunteership is structured around a 20-hour-per-week commitment, participation in this part is not guaranteed.&lt;br /&gt;
&lt;br /&gt;
Individuals interested in this opportunity may reach out to Jeet Vora ([mailto:jeetvora@gwu.edu jeetvora@gwu.edu]) for project details.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Sahana Adusumilli&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Abhirama Chillara&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Rhea Charles&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Pat McNeely&lt;br /&gt;
|PredictMod ML&lt;br /&gt;
|-&lt;br /&gt;
|Sri Piramanayagam&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Pat McNeely&lt;br /&gt;
|PredictMod ML, BiomarkerKB, GlyGen, BCO&lt;br /&gt;
|-&lt;br /&gt;
|Taylor Dimenna&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen Biocuration Project&lt;br /&gt;
|-&lt;br /&gt;
|Daniel Auerbach&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen Publication Analysis Project&lt;br /&gt;
|-&lt;br /&gt;
|Swapnaneel Chatterjee&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|New Project: GlycoChatbot Project&lt;br /&gt;
|-&lt;br /&gt;
|Caleb Hailu&lt;br /&gt;
|Pending&lt;br /&gt;
|Pending&lt;br /&gt;
|GlyGen Biocuration Project&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel*&lt;br /&gt;
|GlyGen &lt;br /&gt;
|Kate Warner&lt;br /&gt;
|GlycoSiteMiner Curation Project&lt;br /&gt;
|-&lt;br /&gt;
|Mathias Belay*&lt;br /&gt;
|BCO User Research&lt;br /&gt;
|Lori Krammer, Pat McNeely&lt;br /&gt;
|BCO, GlycoSiteMiner, BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Arjun Agnihothram&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Pat McNeely&lt;br /&gt;
|PredictMod ML, BiomarkerKB, GlycoSiteMiner&lt;br /&gt;
|-&lt;br /&gt;
|Aryan Jagani&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Pat McNeely&lt;br /&gt;
|PredictMod ML&lt;br /&gt;
|-&lt;br /&gt;
|Cynthia Li&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim&lt;br /&gt;
|BiomarkerKB, GlyGen, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran**&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus Au Yeung, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Dia Jhaveri&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim&lt;br /&gt;
|BiomarkerKB, GlycoSiteMiner, BCO, PredictMod, GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/arthur-issler/ Arthur Issler]&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim, Jeet Vora&lt;br /&gt;
|BiomarkerKB, GlycoSiteMiner, GlyGen&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;**&amp;lt;/nowiki&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Summer 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 4 - 6 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1286</id>
		<title>Volunteership Summer 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1286"/>
		<updated>2026-05-21T15:58:02Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Summer Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
May 15, 2026 | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
Please email your updated resume and projects in order of preference. Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date TBD | 11:00 AM to 12:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: June 1, 2026 –  July 31, 2026&#039;&#039;&#039; (9 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Spring 2026 Volunteership]]&lt;br /&gt;
&lt;br /&gt;
Presentation slides from the Spring 2026 volunteership symposium are publicly available on [https://zenodo.org/records/20072087 Zenodo] to highlight student research contributions from the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 20 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Volunteers should be responsive to email/slack communications. &lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Volunteers are expected to attend volunteership events such as a symposium.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
# This volunteership does not allow for vacation time.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; &#039;&#039;&#039;If the scrum is not updated for 2 consecutive working days,&#039;&#039;&#039; &#039;&#039;&#039;the candidate will be automatically dropped from the program.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteership Support ===&lt;br /&gt;
Each group has dedicated Points of Contact (PoCs) who are your main resource for questions and guidance.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to Get Help&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Slack Group Channel&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Use your group Slack channel as the primary place to ask questions and share ideas. This is strongly encouraged so everyone can learn together. Direct messages to PoCs are discouraged.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Office Hours&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
PoCs will host group office hours every two weeks once the program begins. These sessions are a space to ask questions, discuss ideas, and collaborate live.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to get support&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- Use the Slack channel as your first point of contact (if you are not yet in the Slack channel, then email your PoC at mazumder_lab AT gwu.edu)&lt;br /&gt;
&lt;br /&gt;
- Follow up with your PoCs in the group channel&lt;br /&gt;
&lt;br /&gt;
- Come prepared with questions for office hours&lt;br /&gt;
&lt;br /&gt;
- Participate in discussions and support your peers&lt;br /&gt;
&lt;br /&gt;
Our goal is to create an open, collaborative environment where everyone can learn and contribute.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. GlycoSiteMiner Curation Project ====&lt;br /&gt;
POC: Kate Warner  &lt;br /&gt;
&lt;br /&gt;
GlycoSiteMiner (PMID: [https://pubmed.ncbi.nlm.nih.gov/40401984/ 40401984]) is a large language model (LLM)-based tool developed by the GlyGen team to automate a literature-mining pipeline that extracts experimentally validated, protein sequence–specific glycosylation sites from PubMed abstracts. By leveraging natural language processing, GlycoSiteMiner accelerates the identification of glycosylation evidence that would otherwise require extensive manual review.&lt;br /&gt;
&lt;br /&gt;
The objective of this project is to validate these text-mined entries and curate them into structured datasets using GlyTableMaker (https://glygen.ccrc.uga.edu/tablemaker), a companion tool designed to support the deposition of glycans and glycoproteins, assignment of standardized metadata, and generation of high-quality Excel/CSV tables. This process ensures that extracted information is accurate, consistent, and suitable for integration into GlyGen’s knowledgebase.&lt;br /&gt;
&lt;br /&gt;
This opportunity provides hands-on experience in biocuration workflows, including data validation, standardization, and quality control. Participants will deepen their understanding of glycobiology concepts, gain practical experience working with biological databases, and develop skills in evaluating and refining LLM-generated outputs for scientific applications.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding; however, the data contained within them remains highly valuable to the research community. Integrating these legacy datasets into modern databases or knowledgebases, such as GlyGen, presents a significant challenge because much of the associated metadata (e.g., species, tissue, disease, cell line) is recorded as free-text that does not conform to the standardized dictionaries and ontologies used by current resources.&lt;br /&gt;
&lt;br /&gt;
To address this challenge, this project will leverage large language models (LLMs) to automate the mapping of free-text metadata from legacy databases, specifically CarbBank and CFG, to standardized accessions in authoritative resources such as NCBI Taxonomy, Disease Ontology, and Cellosaurus. The LLM-based workflow will identify and normalize synonyms, abbreviations, and spelling variants (e.g., “human,” “man,” or “h. sapiens” mapped to Homo sapiens), enabling scalable and reproducible metadata harmonization that would otherwise require extensive manual curation. The LLM tasks will be performed using OpenAI resources integrated into the GlyGen curation pipeline. The project involves the development of Python scripts to read and write data, invoke the OpenAI API and compare results with manual curated data. Another aspect of the work is the development and finetunning of a prompt for ChatGPT to ensure reliable and accurate mapping is produced.&lt;br /&gt;
&lt;br /&gt;
While the mapping process will be largely automated, manual validation will be incorporated as a quality-control step to assess model performance, verify correctness, and identify edge cases requiring refinement. This hybrid approach significantly reduces curator burden while ensuring high-quality, ontology-aligned annotations.&lt;br /&gt;
&lt;br /&gt;
The goal of this effort is to migrate and modernize datasets from CarbBank and CFG, making them interoperable with GlyGen and other contemporary glycoinformatics resources through a scalable, AI-assisted curation strategy.&lt;br /&gt;
&lt;br /&gt;
Two projects:&lt;br /&gt;
&lt;br /&gt;
# Taking predicted sites and curating them using table maker&lt;br /&gt;
# Website testing (all volunteers)&lt;br /&gt;
&lt;br /&gt;
For any questions, please contact Rene Ranzinger (rene@ccrc.uga.edu) or Kate Warner (k.warner1@email.gwu.edu).&lt;br /&gt;
&lt;br /&gt;
==== 3. GlyGen Publication Analysis Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets &amp;amp; trained model scripts pushed to GitHub&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 5. BioCompute Objects User Research Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct individual audits and user researcher to improve the human readability of BioCompute Objects (BCOs) and the project documentation. This volunteership will involve user research, prototyping, and documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with the project include:&lt;br /&gt;
&lt;br /&gt;
# Reviewing existing documentation to gain a comprehensive understanding of BioCompute Objects, their relevance to bioinformatics, and key user personas. The volunteer will identify and report gaps in the current documentation.&lt;br /&gt;
# Conducting user research to understand pain points and desired outcomes. The volunteer will develop user stories based on interviews with BCO users.&lt;br /&gt;
# Prototyping improvements to the BCO documentation and/or portal based on user stories. This could involve visual diagrams, wiki restructuring, or decision logs.&lt;br /&gt;
&lt;br /&gt;
Deliverables will include:&lt;br /&gt;
&lt;br /&gt;
# User research report with user story maps&lt;br /&gt;
# BCO documentation improvement plan&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 6. BiomarkerKB Biocuration Project ====&lt;br /&gt;
POC: Jeet Vora (primary), Maria Kim, Cyrus Au-Yeung&lt;br /&gt;
&lt;br /&gt;
[https://biomarkerkb.org/about/ BiomarkerKB] is a biomedical knowledgebase project focused on harmonizing and structuring biomarker knowledge from scientific literature and public resources. We are currently recruiting individuals with experience working with LLMs (e.g. Claude, ChatGPT) to support the following tasks:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Validation of existing published biomarkers from scientific literature (JV, MK, CA)&#039;&#039;&#039;&lt;br /&gt;
#* Review and validate previously reported biomarkers by checking the original literature, confirming evidence support, and standardizing biomarker annotations&lt;br /&gt;
#* Assess the evidence strength of biomarkers and identify additional literature to strengthen the support for biomarker claims&lt;br /&gt;
# &#039;&#039;&#039;Curation of novel biomarkers from scientific literature (MK)&#039;&#039;&#039;&lt;br /&gt;
#* Curate high-quality biomarkers for a selected disease area, organize the findings into a structured dataset&lt;br /&gt;
#* Standardize biomarker representations using controlled vocabularies and ontologies and classify biomarkers by their biomarker types&lt;br /&gt;
#* Construct and test-query a disease-specific biomarker knowledge graph (optional)&lt;br /&gt;
# &#039;&#039;&#039;Electronic Health Records Normal Entity Data Integration (JV)&#039;&#039;&#039;&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# &#039;&#039;&#039;Front-end testing for BiomarkerKB.org (MK, JV)&#039;&#039;&#039;&lt;br /&gt;
#* Test the BiomarkerKB web interface for functionality and data presentation, and document issues / improvement suggestions for the development team&lt;br /&gt;
# &#039;&#039;&#039;Benchmarking and LLM-based biomarker extraction (optional*) (CA)&#039;&#039;&#039;&lt;br /&gt;
#* Construct manually curated biomarker reference sets in the glycobiology domain to support benchmarking of LLM-based knowledge extraction pipelines.&lt;br /&gt;
#* Apply an LLM workflow to extract disease-specific biomarkers from literature and comparing model outputs against the manually curated benchmark sets&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; Participation in the benchmarking and LLM-based biomarker extraction subproject depends on sufficient progress in either task 1 or task 2. Volunteers are expected to first complete either validation of an LLM-extracted glycobiology subset or comprehensive curation of a disease-specific biomarker set before beginning this component. Because this volunteership is structured around a 20-hour-per-week commitment, participation in this part is not guaranteed.&lt;br /&gt;
&lt;br /&gt;
Individuals interested in this opportunity may reach out to Jeet Vora ([mailto:jeetvora@gwu.edu jeetvora@gwu.edu]) for project details.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Sahana Adusumilli&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Abhirama Chillara&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Rhea Charles&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod ML&lt;br /&gt;
|-&lt;br /&gt;
|Sri Piramanayagam&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod ML, BiomarkerKB, GlyGen, BCO&lt;br /&gt;
|-&lt;br /&gt;
|Taylor Dimenna&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen Biocuration Project&lt;br /&gt;
|-&lt;br /&gt;
|Daniel Auerbach&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen Publication Analysis Project&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel*&lt;br /&gt;
|GlyGen &lt;br /&gt;
|Kate Warner&lt;br /&gt;
|GlycoSiteMiner Curation Project&lt;br /&gt;
|-&lt;br /&gt;
|Mathias Belay*&lt;br /&gt;
|BCO User Research&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|BCO, GlycoSiteMiner, BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Arjun Agnihothram&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|PredictMod ML, BiomarkerKB, GlycoSiteMiner&lt;br /&gt;
|-&lt;br /&gt;
|Aryan Jagani&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|PredictMod ML&lt;br /&gt;
|-&lt;br /&gt;
|Cynthia Li&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim&lt;br /&gt;
|BiomarkerKB, GlyGen, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran**&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus Au Yeung, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Dia Jhaveri&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim&lt;br /&gt;
|BiomarkerKB, GlycoSiteMiner, BCO, PredictMod, GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Arthur Issler&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim, Jeet Vora&lt;br /&gt;
|BiomarkerKB, GlycoSiteMiner, GlyGen&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;**&amp;lt;/nowiki&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Summer 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 4 - 6 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1285</id>
		<title>Volunteership Summer 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1285"/>
		<updated>2026-05-21T15:55:00Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Summer Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
May 15, 2026 | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
Please email your updated resume and projects in order of preference. Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date TBD | 11:00 AM to 12:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: June 1, 2026 –  July 31, 2026&#039;&#039;&#039; (9 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Spring 2026 Volunteership]]&lt;br /&gt;
&lt;br /&gt;
Presentation slides from the Spring 2026 volunteership symposium are publicly available on [https://zenodo.org/records/20072087 Zenodo] to highlight student research contributions from the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 20 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Volunteers should be responsive to email/slack communications. &lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Volunteers are expected to attend volunteership events such as a symposium.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
# This volunteership does not allow for vacation time.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; &#039;&#039;&#039;If the scrum is not updated for 2 consecutive working days,&#039;&#039;&#039; &#039;&#039;&#039;the candidate will be automatically dropped from the program.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteership Support ===&lt;br /&gt;
Each group has dedicated Points of Contact (PoCs) who are your main resource for questions and guidance.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to Get Help&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Slack Group Channel&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Use your group Slack channel as the primary place to ask questions and share ideas. This is strongly encouraged so everyone can learn together. Direct messages to PoCs are discouraged.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Office Hours&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
PoCs will host group office hours every two weeks once the program begins. These sessions are a space to ask questions, discuss ideas, and collaborate live.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to get support&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- Use the Slack channel as your first point of contact (if you are not yet in the Slack channel, then email your PoC at mazumder_lab AT gwu.edu)&lt;br /&gt;
&lt;br /&gt;
- Follow up with your PoCs in the group channel&lt;br /&gt;
&lt;br /&gt;
- Come prepared with questions for office hours&lt;br /&gt;
&lt;br /&gt;
- Participate in discussions and support your peers&lt;br /&gt;
&lt;br /&gt;
Our goal is to create an open, collaborative environment where everyone can learn and contribute.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. GlycoSiteMiner Curation Project ====&lt;br /&gt;
POC: Kate Warner  &lt;br /&gt;
&lt;br /&gt;
GlycoSiteMiner (PMID: [https://pubmed.ncbi.nlm.nih.gov/40401984/ 40401984]) is a large language model (LLM)-based tool developed by the GlyGen team to automate a literature-mining pipeline that extracts experimentally validated, protein sequence–specific glycosylation sites from PubMed abstracts. By leveraging natural language processing, GlycoSiteMiner accelerates the identification of glycosylation evidence that would otherwise require extensive manual review.&lt;br /&gt;
&lt;br /&gt;
The objective of this project is to validate these text-mined entries and curate them into structured datasets using GlyTableMaker (https://glygen.ccrc.uga.edu/tablemaker), a companion tool designed to support the deposition of glycans and glycoproteins, assignment of standardized metadata, and generation of high-quality Excel/CSV tables. This process ensures that extracted information is accurate, consistent, and suitable for integration into GlyGen’s knowledgebase.&lt;br /&gt;
&lt;br /&gt;
This opportunity provides hands-on experience in biocuration workflows, including data validation, standardization, and quality control. Participants will deepen their understanding of glycobiology concepts, gain practical experience working with biological databases, and develop skills in evaluating and refining LLM-generated outputs for scientific applications.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding; however, the data contained within them remains highly valuable to the research community. Integrating these legacy datasets into modern databases or knowledgebases, such as GlyGen, presents a significant challenge because much of the associated metadata (e.g., species, tissue, disease, cell line) is recorded as free-text that does not conform to the standardized dictionaries and ontologies used by current resources.&lt;br /&gt;
&lt;br /&gt;
To address this challenge, this project will leverage large language models (LLMs) to automate the mapping of free-text metadata from legacy databases, specifically CarbBank and CFG, to standardized accessions in authoritative resources such as NCBI Taxonomy, Disease Ontology, and Cellosaurus. The LLM-based workflow will identify and normalize synonyms, abbreviations, and spelling variants (e.g., “human,” “man,” or “h. sapiens” mapped to Homo sapiens), enabling scalable and reproducible metadata harmonization that would otherwise require extensive manual curation. The LLM tasks will be performed using OpenAI resources integrated into the GlyGen curation pipeline. The project involves the development of Python scripts to read and write data, invoke the OpenAI API and compare results with manual curated data. Another aspect of the work is the development and finetunning of a prompt for ChatGPT to ensure reliable and accurate mapping is produced.&lt;br /&gt;
&lt;br /&gt;
While the mapping process will be largely automated, manual validation will be incorporated as a quality-control step to assess model performance, verify correctness, and identify edge cases requiring refinement. This hybrid approach significantly reduces curator burden while ensuring high-quality, ontology-aligned annotations.&lt;br /&gt;
&lt;br /&gt;
The goal of this effort is to migrate and modernize datasets from CarbBank and CFG, making them interoperable with GlyGen and other contemporary glycoinformatics resources through a scalable, AI-assisted curation strategy.&lt;br /&gt;
&lt;br /&gt;
Two projects:&lt;br /&gt;
&lt;br /&gt;
# Taking predicted sites and curating them using table maker&lt;br /&gt;
# Website testing (all volunteers)&lt;br /&gt;
&lt;br /&gt;
For any questions, please contact Rene Ranzinger (rene@ccrc.uga.edu) or Kate Warner (k.warner1@email.gwu.edu).&lt;br /&gt;
&lt;br /&gt;
==== 3. GlyGen Publication Analysis Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets &amp;amp; trained model scripts pushed to GitHub&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 5. BioCompute Objects User Research Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct individual audits and user researcher to improve the human readability of BioCompute Objects (BCOs) and the project documentation. This volunteership will involve user research, prototyping, and documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with the project include:&lt;br /&gt;
&lt;br /&gt;
# Reviewing existing documentation to gain a comprehensive understanding of BioCompute Objects, their relevance to bioinformatics, and key user personas. The volunteer will identify and report gaps in the current documentation.&lt;br /&gt;
# Conducting user research to understand pain points and desired outcomes. The volunteer will develop user stories based on interviews with BCO users.&lt;br /&gt;
# Prototyping improvements to the BCO documentation and/or portal based on user stories. This could involve visual diagrams, wiki restructuring, or decision logs.&lt;br /&gt;
&lt;br /&gt;
Deliverables will include:&lt;br /&gt;
&lt;br /&gt;
# User research report with user story maps&lt;br /&gt;
# BCO documentation improvement plan&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 6. BiomarkerKB Biocuration Project ====&lt;br /&gt;
POC: Jeet Vora (primary), Maria Kim, Cyrus Au-Yeung&lt;br /&gt;
&lt;br /&gt;
[https://biomarkerkb.org/about/ BiomarkerKB] is a biomedical knowledgebase project focused on harmonizing and structuring biomarker knowledge from scientific literature and public resources. We are currently recruiting individuals with experience working with LLMs (e.g. Claude, ChatGPT) to support the following tasks:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Validation of existing published biomarkers from scientific literature (JV, MK, CA)&#039;&#039;&#039;&lt;br /&gt;
#* Review and validate previously reported biomarkers by checking the original literature, confirming evidence support, and standardizing biomarker annotations&lt;br /&gt;
#* Assess the evidence strength of biomarkers and identify additional literature to strengthen the support for biomarker claims&lt;br /&gt;
# &#039;&#039;&#039;Curation of novel biomarkers from scientific literature (MK)&#039;&#039;&#039;&lt;br /&gt;
#* Curate high-quality biomarkers for a selected disease area, organize the findings into a structured dataset&lt;br /&gt;
#* Standardize biomarker representations using controlled vocabularies and ontologies and classify biomarkers by their biomarker types&lt;br /&gt;
#* Construct and test-query a disease-specific biomarker knowledge graph (optional)&lt;br /&gt;
# &#039;&#039;&#039;Electronic Health Records Normal Entity Data Integration (JV)&#039;&#039;&#039;&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# &#039;&#039;&#039;Front-end testing for BiomarkerKB.org (MK, JV)&#039;&#039;&#039;&lt;br /&gt;
#* Test the BiomarkerKB web interface for functionality and data presentation, and document issues / improvement suggestions for the development team&lt;br /&gt;
# &#039;&#039;&#039;Benchmarking and LLM-based biomarker extraction (optional*) (CA)&#039;&#039;&#039;&lt;br /&gt;
#* Construct manually curated biomarker reference sets in the glycobiology domain to support benchmarking of LLM-based knowledge extraction pipelines.&lt;br /&gt;
#* Apply an LLM workflow to extract disease-specific biomarkers from literature and comparing model outputs against the manually curated benchmark sets&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; Participation in the benchmarking and LLM-based biomarker extraction subproject depends on sufficient progress in either task 1 or task 2. Volunteers are expected to first complete either validation of an LLM-extracted glycobiology subset or comprehensive curation of a disease-specific biomarker set before beginning this component. Because this volunteership is structured around a 20-hour-per-week commitment, participation in this part is not guaranteed.&lt;br /&gt;
&lt;br /&gt;
Individuals interested in this opportunity may reach out to Jeet Vora ([mailto:jeetvora@gwu.edu jeetvora@gwu.edu]) for project details.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Sahana Adusumilli&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora&lt;br /&gt;
|Review EHR Normal Ranges&lt;br /&gt;
|-&lt;br /&gt;
|Abhirama Chillara&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora, Maria Kim&lt;br /&gt;
|TBD&lt;br /&gt;
|-&lt;br /&gt;
|Rhea Charles&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod ML&lt;br /&gt;
|-&lt;br /&gt;
|Sri Piramanayagam&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod ML, BiomarkerKB, GlyGen, BCO&lt;br /&gt;
|-&lt;br /&gt;
|Taylor Dimenna&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen Biocuration Project&lt;br /&gt;
|-&lt;br /&gt;
|Daniel Auerbach&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen Publication Analysis Project&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel*&lt;br /&gt;
|GlyGen &lt;br /&gt;
|Kate Warner&lt;br /&gt;
|GlycoSiteMiner Curation Project&lt;br /&gt;
|-&lt;br /&gt;
|Mathias Belay*&lt;br /&gt;
|BCO User Research&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|BCO, GlycoSiteMiner, BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Arjun Agnihothram&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|PredictMod ML, BiomarkerKB, GlycoSiteMiner&lt;br /&gt;
|-&lt;br /&gt;
|Aryan Jagani&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|PredictMod ML&lt;br /&gt;
|-&lt;br /&gt;
|Cynthia Li&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran**&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Cyrus Au Yeung, Maria Kim&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Dia Jhaveri&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Arthur Issler&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim, Jeet Vora&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;**&amp;lt;/nowiki&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Summer 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 4 - 6 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1218</id>
		<title>Volunteership Summer 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1218"/>
		<updated>2026-04-02T21:08:55Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* 1. BiomarkerKB Biocuration Project Ideas */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Summer Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date TBD | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
Please email your updated resume and projects in order of preference. Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date TBD | 11:00 AM to 12:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: June 1, 2026 –  July 31, 2026&#039;&#039;&#039; (9 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Fall 2025 Volunteership]] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
&lt;br /&gt;
# Review exisiting published biomarkers for the correctness and validity&lt;br /&gt;
#* Validate biomarker–disease associations using primary literature&lt;br /&gt;
#* Assess evidence strength and/or add excerpts from listed papers serving as evidence&lt;br /&gt;
#* Identify outdated, conflicting, or unsupported biomarker claims&lt;br /&gt;
# Biocurate biomarkers from publications based on disease and entity type&lt;br /&gt;
#* Identify and curate novel biomarkers from recent publications&lt;br /&gt;
#* Standardize biomarker representation using controlled vocabularies and ontologies&lt;br /&gt;
#* Classify biomarkers by type and disease context&lt;br /&gt;
# Review and Map Electronic Health Records Normal Entity Data&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# Continue working on LLM methods started by previous volunteers.&lt;br /&gt;
#* The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or would like to know more, please reach out to jeetvora@gwu.edu&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Kate Warner, and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding; however, the data contained within them remains highly valuable to the research community. Integrating these legacy datasets into modern databases or knowledgebases, such as GlyGen, presents a significant challenge because much of the associated metadata (e.g., species, tissue, disease, cell line) is recorded as free-text that does not conform to the standardized dictionaries and ontologies used by current resources.&lt;br /&gt;
&lt;br /&gt;
To address this challenge, this project will leverage large language models (LLMs) to automate the mapping of free-text metadata from legacy databases, specifically CarbBank and CFG, to standardized accessions in authoritative resources such as NCBI Taxonomy, Disease Ontology, and Cellosaurus. The LLM-based workflow will identify and normalize synonyms, abbreviations, and spelling variants (e.g., “human,” “man,” or “h. sapiens” mapped to Homo sapiens), enabling scalable and reproducible metadata harmonization that would otherwise require extensive manual curation. The LLM tasks will be performed using OpenAI resources integrated into the GlyGen curation pipeline. The project involves the development of Python scripts to read and write data, invoke the OpenAI API and compare results with manual curated data. Another aspect of the work is the development and finetunning of a prompt for ChatGPT to ensure reliable and accurate mapping is produced.&lt;br /&gt;
&lt;br /&gt;
While the mapping process will be largely automated, manual validation will be incorporated as a quality-control step to assess model performance, verify correctness, and identify edge cases requiring refinement. This hybrid approach significantly reduces curator burden while ensuring high-quality, ontology-aligned annotations.&lt;br /&gt;
&lt;br /&gt;
The goal of this effort is to migrate and modernize datasets from CarbBank and CFG, making them interoperable with GlyGen and other contemporary glycoinformatics resources through a scalable, AI-assisted curation strategy.&lt;br /&gt;
&lt;br /&gt;
For any questions, please contact Rene Ranzinger (rene@ccrc.uga.edu) or Kate Warner (k.warner1@email.gwu.edu).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger, Kate Warner, and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets&lt;br /&gt;
# Trained model scripts&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 5. BioCompute Objects User Research Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct individual audits and user researcher to improve the human readability of BioCompute Objects (BCOs) and the project documentation. This volunteership will involve user research, prototyping, and documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with the project include:&lt;br /&gt;
&lt;br /&gt;
# Reviewing existing documentation to gain a comprehensive understanding of BioCompute Objects, their relevance to bioinformatics, and key user personas. The volunteer will identify and report gaps in the current documentation.&lt;br /&gt;
# Conducting user research to understand pain points and desired outcomes. The volunteer will develop user stories based on interviews with BCO users.&lt;br /&gt;
# Prototyping improvements to the BCO documentation and/or portal based on user stories. This could involve visual diagrams, wiki restructuring, or decision logs.&lt;br /&gt;
&lt;br /&gt;
Deliverables will include:&lt;br /&gt;
&lt;br /&gt;
# User research report with user story maps&lt;br /&gt;
# BCO documentation improvement plan&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;6. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Sahana Adusumilli&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora&lt;br /&gt;
|Review EHR Normal Ranges&lt;br /&gt;
|-&lt;br /&gt;
|Abhirama Chillara&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora/Maria&lt;br /&gt;
|TBD&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;**&amp;lt;/nowiki&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Summer 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 4 - 6 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1114</id>
		<title>Volunteership Spring 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1114"/>
		<updated>2026-01-07T20:21:45Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* Volunteers (TBD) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== 2026 Spring Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 9, 2026, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 12, 2026 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: January, 2026 –  April, 2026&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Fall 2025|Fall 2025 Volunteership]] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Maria Kim, Cyrus Yeung, Jeet Vora&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease or for a treatment&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on NLP/LLM methods.&lt;br /&gt;
# Continue working on LLM methods started by volunteers in Fall 2025.&lt;br /&gt;
::: The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast cancers, biomarkers and glycans, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
# Prepare a Wikipage to showcase the validated PMIDs.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and weekly 1-2 paragraph reports.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; For anyone interested in ARGOS, you may be assigned to another project of your choice. This project is contingent on a contract extension. Please complete your project selection in order of preference.&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside&lt;br /&gt;
&lt;br /&gt;
Qualifications: basic/medium programming skills, knowledgeable of basic bioinformatics platforms and skills.&lt;br /&gt;
&lt;br /&gt;
# Curate and report on currently circulating pathogens to upload to ARGOS&lt;br /&gt;
## The student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
# Report Results&lt;br /&gt;
## Defend your pathogens you have selected to be added to the database. Explain their importance and what value they would hold to the scientific community if they were added.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the Spring.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy*]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer; Urnisha Bhuiyan; Rene Ranzinger&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Bakshi&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Sampurna Chakravorty&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod; ARGOS; BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran*&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim; Cyrus Yeung; Jeet Vora&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1113</id>
		<title>Volunteership Spring 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1113"/>
		<updated>2026-01-07T20:21:11Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* Volunteers (TBD) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== 2026 Spring Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 9, 2026, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 12, 2026 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: January, 2026 –  April, 2026&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Fall 2025|Fall 2025 Volunteership]] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Maria Kim, Cyrus Yeung, Jeet Vora&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease or for a treatment&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on NLP/LLM methods.&lt;br /&gt;
# Continue working on LLM methods started by volunteers in Fall 2025.&lt;br /&gt;
::: The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast cancers, biomarkers and glycans, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
# Prepare a Wikipage to showcase the validated PMIDs.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and weekly 1-2 paragraph reports.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; For anyone interested in ARGOS, you may be assigned to another project of your choice. This project is contingent on a contract extension. Please complete your project selection in order of preference.&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside&lt;br /&gt;
&lt;br /&gt;
Qualifications: basic/medium programming skills, knowledgeable of basic bioinformatics platforms and skills.&lt;br /&gt;
&lt;br /&gt;
# Curate and report on currently circulating pathogens to upload to ARGOS&lt;br /&gt;
## The student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
# Report Results&lt;br /&gt;
## Defend your pathogens you have selected to be added to the database. Explain their importance and what value they would hold to the scientific community if they were added.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the Spring.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy*]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer; Urnisha Bhuiyan; Rene Ranzinger&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Bakshi&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Sampurna Chakravorty&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod; ARGOS; BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran*&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Maria Kim; Cyrus Yeung; Jeet Vora&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1112</id>
		<title>Volunteership Spring 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1112"/>
		<updated>2026-01-07T20:18:07Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* 1. BiomarkerKB Biocuration Project Ideas */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== 2026 Spring Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 9, 2026, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 12, 2026 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: January, 2026 –  April, 2026&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Fall 2025|Fall 2025 Volunteership]] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Maria Kim, Cyrus Yeung, Jeet Vora&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease or for a treatment&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on NLP/LLM methods.&lt;br /&gt;
# Continue working on LLM methods started by volunteers in Fall 2025.&lt;br /&gt;
::: The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast cancers, biomarkers and glycans, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
# Prepare a Wikipage to showcase the validated PMIDs.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and weekly 1-2 paragraph reports.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; For anyone interested in ARGOS, you may be assigned to another project of your choice. This project is contingent on a contract extension. Please complete your project selection in order of preference.&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside&lt;br /&gt;
&lt;br /&gt;
Qualifications: basic/medium programming skills, knowledgeable of basic bioinformatics platforms and skills.&lt;br /&gt;
&lt;br /&gt;
# Curate and report on currently circulating pathogens to upload to ARGOS&lt;br /&gt;
## The student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
# Report Results&lt;br /&gt;
## Defend your pathogens you have selected to be added to the database. Explain their importance and what value they would hold to the scientific community if they were added.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the Spring.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy*]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer; Urnisha Bhuiyan; Rene Ranzinger&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Bakshi&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Sampurna Chakravorty&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer&lt;br /&gt;
|PredictMod; ARGOS; BiomarkerKB&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=1098</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=1098"/>
		<updated>2025-11-26T19:53:49Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* Agenda (All times are in Eastern Standard Time) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22, 2025, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Volunteership] (Closed)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_Spring_2026 Spring 2026 Volunteership]&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
# Continue working on LLM methods started by volunteers over the summer.&lt;br /&gt;
## The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast cancers, biomarkers and glycans, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
# Prepare a Wikipage to showcase the validated PMIDs.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the Fall.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy*]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Harivinay P. Gujjula*&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sparsh Gupta*&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Miao Wang*&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Christie Woodside, Jonathon Keeney&lt;br /&gt;
|ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/farah-kamila/ Farah Kamila]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod, ARGOS, BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Arhamur Rauf&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Christie Woodside, Jonathon Keeney&lt;br /&gt;
|ARGOS, GlyGen, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/ashley-tien/ Ashley Tien]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|ARGOS, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Namrata Oruganti&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
== Fall Symposium ==&lt;br /&gt;
The Fall symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; Nov 26th, 2025 (Wednesday)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 3 - 5 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - https://gwu-edu.zoom.us/j/96518488501?jst=2&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|3:00-3:10 PM&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |Welcome &amp;amp; Introduction&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|-&lt;br /&gt;
|3:10-3:35 PM&lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (Tianyi &amp;amp; Lori) intro&lt;br /&gt;
* 15 mins - PredictMod: PMID Curation for Intervention Outcome Prediction Models (IOPMs)&lt;br /&gt;
* 5 min QA&lt;br /&gt;
|Diya Kamalabharathy; Anika Sikka; Ashley Tien; Farah Kamila&lt;br /&gt;
|-&lt;br /&gt;
|3:35-4:00 PM&lt;br /&gt;
|GlyGen&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC intro (Urnisha, Rene, Kate)&lt;br /&gt;
* 15 mins - Curation of species metadata using LLM &amp;amp; Visualizing glycomics databases and their features&lt;br /&gt;
* 5 min QA&lt;br /&gt;
|Diya Kamalabharathy; Harivinay P. Gujjula&lt;br /&gt;
|-&lt;br /&gt;
|4:00-4:25 PM&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (Christie) intro&lt;br /&gt;
* 15 mins -Curation of Pathogens and QC Analysis for the Argos Project QC analysis, representative genome selection Curation of genomes 1 &amp;amp; 2&lt;br /&gt;
* 5 mins QA&lt;br /&gt;
|Miao Wang; Arhamur Rauf&lt;br /&gt;
|-&lt;br /&gt;
|4:25-4:50 PM&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (Daniall &amp;amp; Maria) intro &lt;br /&gt;
* 15 mins - Leveraging Large Language Models to collect Biomarker data from PubMed Abstracts&lt;br /&gt;
* 5 mins QA&lt;br /&gt;
|Namrata Oruganti; Vishal Muthusekaran; Sparsh Gupta&lt;br /&gt;
|-&lt;br /&gt;
|4:50-5:00 PM&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |Remarks&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=1094</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=1094"/>
		<updated>2025-11-26T17:42:07Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* Fall Symposium */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22, 2025, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Volunteership] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
# Continue working on LLM methods started by volunteers over the summer.&lt;br /&gt;
## The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast cancers, biomarkers and glycans, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
# Prepare a Wikipage to showcase the validated PMIDs.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the Fall.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy*]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Harivinay P. Gujjula*&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sparsh Gupta*&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Miao Wang*&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Christie Woodside, Jonathon Keeney&lt;br /&gt;
|ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/farah-kamila/ Farah Kamila]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod, ARGOS, BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Arhamur Rauf&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Christie Woodside, Jonathon Keeney&lt;br /&gt;
|ARGOS, GlyGen, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/ashley-tien/ Ashley Tien]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|ARGOS, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Namrata Oruganti&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
== Fall Symposium ==&lt;br /&gt;
The Fall symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; Nov 26th, 2025 (Wednesday)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 3 - 5 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - https://gwu-edu.zoom.us/j/96518488501?jst=2&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|3:00-3:10 PM&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |Welcome &amp;amp; Introduction&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|-&lt;br /&gt;
|3:10-3:35 PM&lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (Tianyi &amp;amp; Lori) intro&lt;br /&gt;
* 15 mins - PredictMod: PMID Curation for Intervention Outcome Prediction Models (IOPMs)&lt;br /&gt;
* 5 min QA&lt;br /&gt;
|Diya Kamalabharathy; Anika Sikka; Ashley Tien; Farah Kamila&lt;br /&gt;
|-&lt;br /&gt;
|3:35-4:00 PM&lt;br /&gt;
|GlyGen&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC intro&lt;br /&gt;
* 15 mins - Curation of species metadata using LLM &amp;amp; Visualizing glycomics databases and their features&lt;br /&gt;
* 5 min QA&lt;br /&gt;
|Diya Kamalabharathy; Harivinay P. Gujjula&lt;br /&gt;
|-&lt;br /&gt;
|4:00-4:25 PM&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC intro&lt;br /&gt;
* 15 mins -Curation of Pathogens and QC Analysis for the Argos Project QC analysis, representative genome selection Curation of genomes 1 &amp;amp; 2&lt;br /&gt;
* 5 mins QA&lt;br /&gt;
|Miao Wang; Arhamur Rauf&lt;br /&gt;
|-&lt;br /&gt;
|4:25-4:50 PM&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (Daniall and Maria) intro &lt;br /&gt;
* 15 mins - Leveraging Large Language Models to collect Biomarker data from PubMed Abstracts&lt;br /&gt;
* 5 mins QA&lt;br /&gt;
|Namrata Oruganti; Vishal Muthusekaran; Sparsh Gupta&lt;br /&gt;
|-&lt;br /&gt;
|4:50-5:00 PM&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |Remarks&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=857</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=857"/>
		<updated>2025-06-17T20:04:30Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: /* Volunteers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Volunteer Zoom Kick-Off Meeting&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
May 27, 2025 | 3:30 to 4:30 PM&lt;br /&gt;
&lt;br /&gt;
&amp;lt;strong&amp;gt;Program Dates: June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models.  &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;1. BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood, Maria Kim&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Curation: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO).&lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
|-&lt;br /&gt;
! Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
| [https://www.linkedin.com/in/gracesjchong/ Grace Chong]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/alma-ogunsina-4959072b1/ Alma Ogunsina]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# ARGOS&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# PredictMod Machine Learning&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/harivinay-prasad-reddy-gujjula-a06ba71bb/ Harivinay P. Gujjula]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BioMarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/miao-wang-88b602290/Miao&amp;amp;#x20;Wang Miao Wang]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project Ideas&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen Curation Project&lt;br /&gt;
# PredictMod Machine Learning Project Ideas&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nahom-gebreselassie-1545ab336/ Nahom Abel]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/kajal-patel-cs/ Kajal Sanjaykumar Patel]&lt;br /&gt;
|GlyGen and PubMed project&lt;br /&gt;
|&lt;br /&gt;
#PredictMod&lt;br /&gt;
#BiomarkerKB&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/john-mccaffrey-b8850930a/ John McCaffrey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nathan-ressom/ Nathan Ressom]&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/aaron-ressom/ Aaron Ressom] &lt;br /&gt;
|PredictMod (invited)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/akale-kinfe/ Akale Kinfe]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Aise Arpinar &lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/piyush-pandey-906b582b5/ Piyush Pandey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[http://www.linkedin.com/in/filmawit-zeru-203272363 Filmawit Zeru]&lt;br /&gt;
|GlycoSiteMiner project&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/mathias-belay-03b51a2a3/ Mathias Belay]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Gladys Ndalama&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Isaac Kim&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sohana Bahl&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Ana Vohralikova&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project&lt;br /&gt;
# GlyGen Biocuration Project&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=853</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=853"/>
		<updated>2025-05-30T12:23:58Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added a field value&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Volunteer Zoom Kick-Off Meeting&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
May 27, 2025 | 3:30 to 4:30 PM&lt;br /&gt;
&lt;br /&gt;
&amp;lt;strong&amp;gt;Program Dates: June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models.  &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;1. BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood, Maria Kim&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Curation: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO).&lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
|-&lt;br /&gt;
! Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
| [https://www.linkedin.com/in/gracesjchong/ Grace Chong]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/alma-ogunsina-4959072b1/ Alma Ogunsina]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# ARGOS&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# PredictMod Machine Learning&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/harivinay-prasad-reddy-gujjula-a06ba71bb/ Harivinay P. Gujjula]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BioMarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/miao-wang-88b602290/Miao&amp;amp;#x20;Wang Miao Wang]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project Ideas&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen Curation Project&lt;br /&gt;
# PredictMod Machine Learning Project Ideas&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nahom-gebreselassie-1545ab336/ Nahom Abel]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/kajal-patel-cs/ Kajal Sanjaykumar Patel]&lt;br /&gt;
|GlyGen and PubMed project&lt;br /&gt;
|&lt;br /&gt;
#PredictMod&lt;br /&gt;
#BiomarkerKB&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/john-mccaffrey-b8850930a/ John McCaffrey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nathan-ressom/ Nathan Ressom]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/aaron-ressom/ Aaron Ressom] &lt;br /&gt;
|PredictMod (invited)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/akale-kinfe/ Akale Kinfe]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Aise Arpinar &lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/piyush-pandey-906b582b5/ Piyush Pandey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[http://www.linkedin.com/in/filmawit-zeru-203272363 Filmawit Zeru]&lt;br /&gt;
|GlycoSiteMiner project&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/mathias-belay-03b51a2a3/ Mathias Belay]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Gladys Ndalama&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Isaac Kim&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sohana Bahl&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Ana Vohralikova&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project&lt;br /&gt;
# GlyGen Biocuration Project&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=849</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=849"/>
		<updated>2025-05-27T19:43:09Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added Ana Vohralikova&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Volunteer Zoom Kick-Off Meeting&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
May 27, 2025 | 3:30 to 4:30 PM&lt;br /&gt;
&lt;br /&gt;
&amp;lt;strong&amp;gt;Program Dates: June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models.  &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;1. BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood, Maria Kim&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Curation: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO).&lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
|-&lt;br /&gt;
! Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
| [https://www.linkedin.com/in/gracesjchong/ Grace Chong]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/alma-ogunsina-4959072b1/ Alma Ogunsina]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# ARGOS&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# PredictMod Machine Learning&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/harivinay-prasad-reddy-gujjula-a06ba71bb/ Harivinay P. Gujjula]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BioMarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/miao-wang-88b602290/Miao&amp;amp;#x20;Wang Miao Wang]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project Ideas&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen Curation Project&lt;br /&gt;
# PredictMod Machine Learning Project Ideas&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nahom-gebreselassie-1545ab336/ Nahom Abel]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/kajal-patel-cs/ Kajal Sanjaykumar Patel]&lt;br /&gt;
|GlyGen and PubMed project&lt;br /&gt;
|&lt;br /&gt;
#PredictMod&lt;br /&gt;
#BiomarkerKB&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/john-mccaffrey-b8850930a/ John McCaffrey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nathan-ressom/ Nathan Ressom]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/aaron-ressom/ Aaron Ressom] &lt;br /&gt;
|PredictMod (invited)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/akale-kinfe/ Akale Kinfe]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Aise Arpinar &lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/piyush-pandey-906b582b5/ Piyush Pandey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[http://www.linkedin.com/in/filmawit-zeru-203272363 Filmawit Zeru]&lt;br /&gt;
|GlycoSiteMiner project&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/mathias-belay-03b51a2a3/ Mathias Belay]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Gladys Ndalama&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Isaac Kim&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sohana Bahl&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Ana Vohralikova&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project&lt;br /&gt;
# GlyGen Biocuration Project&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=848</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=848"/>
		<updated>2025-05-27T19:38:23Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added Sohana Bahl&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Volunteer Zoom Kick-Off Meeting&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
May 27, 2025 | 3:30 to 4:30 PM&lt;br /&gt;
&lt;br /&gt;
&amp;lt;strong&amp;gt;Program Dates: June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models.  &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;1. BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood, Maria Kim&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Curation: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO).&lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
|-&lt;br /&gt;
! Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
| [https://www.linkedin.com/in/gracesjchong/ Grace Chong]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/alma-ogunsina-4959072b1/ Alma Ogunsina]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# ARGOS&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy]&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# PredictMod Machine Learning&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/harivinay-prasad-reddy-gujjula-a06ba71bb/ Harivinay P. Gujjula]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BioMarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/miao-wang-88b602290/Miao&amp;amp;#x20;Wang Miao Wang]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project Ideas&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen Curation Project&lt;br /&gt;
# PredictMod Machine Learning Project Ideas&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nahom-gebreselassie-1545ab336/ Nahom Abel]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/kajal-patel-cs/ Kajal Sanjaykumar Patel]&lt;br /&gt;
|GlyGen and PubMed project&lt;br /&gt;
|&lt;br /&gt;
#PredictMod&lt;br /&gt;
#BiomarkerKB&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/john-mccaffrey-b8850930a/ John McCaffrey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nathan-ressom/ Nathan Ressom]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/aaron-ressom/ Aaron Ressom] &lt;br /&gt;
|PredictMod (invited)&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/akale-kinfe/ Akale Kinfe]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Aise Arpinar &lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/piyush-pandey-906b582b5/ Piyush Pandey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[http://www.linkedin.com/in/filmawit-zeru-203272363 Filmawit Zeru]&lt;br /&gt;
|GlycoSiteMiner project&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/mathias-belay-03b51a2a3/ Mathias Belay]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Gladys Ndalama&lt;br /&gt;
|PredictMod (confirmed)&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Isaac Kim&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# PredictMod&lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sohana Bahl&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=829</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=829"/>
		<updated>2025-05-05T14:39:46Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added Maria as POC&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Volunteer Zoom Kick-Off Meeting&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
May 26, 2025 | 3:30 to 4:30 PM&lt;br /&gt;
&lt;br /&gt;
&amp;lt;strong&amp;gt;Program Dates: June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models.  &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;1. BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood, Maria Kim&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Harmonization: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO). &lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
|-&lt;br /&gt;
! Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
| [https://www.linkedin.com/in/gracesjchong/ Grace Chong]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/alma-ogunsina-4959072b1/ Alma Ogunsina]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# ARGOS&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# PredictMod Machine Learning&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/harivinay-prasad-reddy-gujjula-a06ba71bb/ Harivinay P. Gujjula]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BioMarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/miao-wang-88b602290/Miao&amp;amp;#x20;Wang Miao Wang]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project Ideas&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen Curation Project&lt;br /&gt;
# PredictMod Machine Learning Project Ideas&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nahom-gebreselassie-1545ab336/ Nahom Abel]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/kajal-patel-cs/ Kajal Sanjaykumar Patel]&lt;br /&gt;
|GlyGen and PubMed project&lt;br /&gt;
|&lt;br /&gt;
#PredictMod&lt;br /&gt;
#BiomarkerKB&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/john-mccaffrey-b8850930a/ John McCaffrey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nathan-ressom/ Nathan Ressom]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/aaron-ressom/ Aaron Ressom] &lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/akale-kinfe/ Akale Kinfe]&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Aise Arpinar &lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Piyush Pandey&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=656</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=656"/>
		<updated>2025-04-03T21:43:00Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Formatting&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models. Individuals with a background in programming and/or machine learning may take on additional tasks that contribute to the development of ML models, which can be integrated into PredictMod. &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== GlyGen Biocuration Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Using TableMaker in GlyGen, individuals will curate glycomics and glycoproteomics data from previous database resources that are now defunct. There might also be biocuration projects that inolve curating papers. &lt;br /&gt;
&lt;br /&gt;
==== PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Harmonization: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO). &lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin Team during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab AT gwu.edu.&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=655</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=655"/>
		<updated>2025-04-03T21:36:33Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added links&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models. Individuals with a background in programming and/or machine learning may take on additional tasks that contribute to the development of ML models, which can be integrated into PredictMod. &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## Student would work on doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly&lt;br /&gt;
## Next 4 weeks can work on developing an LLM or automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## curate the top 50 biomarkers for biomarkerkb.org&lt;br /&gt;
## Define what constitutes a top 50 biomarker&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in data model and collecting cross-references as well.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in biomarker data model&lt;br /&gt;
## While curating biomarkers also check if data collected from NLP is correct&lt;br /&gt;
## After completion student can start using curated data to work on NLP/LLM method&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## same as number 1 above&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== GlyGen Biocuration Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Using TableMaker in GlyGen, individuals will curate glycomics and glycoproteomics data from previous database resources that are now defunct. There might also be biocuration projects that inolve curating papers. &lt;br /&gt;
&lt;br /&gt;
==== PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Harmonization: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO). &lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin Team during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab AT gwu.edu.&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=654</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=654"/>
		<updated>2025-04-03T21:32:40Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Removed redundant tag&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Identifying datasets and harmonizing them so that they can be used to generate ML models. Individuals with a background in programming and/or machine learning may take on additional tasks that contribute to the development of ML models, which can be integrated into PredictMod. &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## Student would work on doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly&lt;br /&gt;
## Next 4 weeks can work on developing an LLM or automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## curate the top 50 biomarkers for biomarkerkb.org&lt;br /&gt;
## Define what constitutes a top 50 biomarker&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in data model and collecting cross-references as well.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in biomarker data model&lt;br /&gt;
## While curating biomarkers also check if data collected from NLP is correct&lt;br /&gt;
## After completion student can start using curated data to work on NLP/LLM method&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## same as number 1 above&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== GlyGen Biocuration Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Using TableMaker in GlyGen, individuals will curate glycomics and glycoproteomics data from previous database resources that are now defunct. There might also be biocuration projects that inolve curating papers. &lt;br /&gt;
&lt;br /&gt;
==== PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Harmonization: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO). &lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin Team during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab AT gwu.edu.&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=BioMuta_pipeline_README&amp;diff=465</id>
		<title>BioMuta pipeline README</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=BioMuta_pipeline_README&amp;diff=465"/>
		<updated>2025-03-10T20:51:10Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Updated pipeline&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The BioMuta pipeline has undergone significant changes since 6.0. The old pipeline (version 5.0 and older) is located [https://biomuta.readthedocs.io/en/latest/# here].&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
The Biomuta pipeline gathers mutation data from various sources and combines them into a single dataset under common field structure.&lt;br /&gt;
&lt;br /&gt;
The sources included in BioMuta are:&lt;br /&gt;
*[https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga The Cancer Genome Atlas (TCGA)]&lt;br /&gt;
*[https://civicdb.org/welcome Clinical Interpretation of Variants in Cancer (CIVIC)]&lt;br /&gt;
*[https://cancer.sanger.ac.uk/cosmic Catalogue of Somatic Mutations in Cancer (COSMIC)]&lt;br /&gt;
&lt;br /&gt;
BioMuta gathers mutation data for the following cancers:&lt;br /&gt;
*Urinary Bladder Cancer (DOID:11054)&lt;br /&gt;
*Breast Cancer (DOID:1612)&lt;br /&gt;
*Colorectal (DOID:9256)&lt;br /&gt;
*Esophageal Cancer (DOID:5041)&lt;br /&gt;
*Head and Neck Cancer (DOID:11934)&lt;br /&gt;
*Kidney Cancer (DOID:263)&lt;br /&gt;
*Liver Cancer (DOID:3571)&lt;br /&gt;
*Lung Cancer (DOID:1324)&lt;br /&gt;
*Prostate Cancer (DOID:10283)&lt;br /&gt;
*Stomach Cancer (DOID:10534)&lt;br /&gt;
*Thyroid Gland Cancer (DOID:1781)&lt;br /&gt;
*Uterine Cancer (DOID:363)&lt;br /&gt;
*Cervical Cancer (DOID:4362)&lt;br /&gt;
*Brain Cancer (DOID:1319)&lt;br /&gt;
*Hematologic Cancer (DOID:2531)&lt;br /&gt;
*Adrenal Gland Cancer (DOID:3953)&lt;br /&gt;
*Pancreatic Cancer (DOID:1793)&lt;br /&gt;
*Ovarian Cancer (DOID:2394)&lt;br /&gt;
*Skin Cancer (DOID:4159)&lt;br /&gt;
&lt;br /&gt;
= Running the Pipeline =&lt;br /&gt;
To run the BioMuta pipeine, download the scripts from the HIVE Lab github repo: [https://github.com/GW-HIVE/biomuta-old GW HIVE BioMuta Repository].&lt;br /&gt;
&lt;br /&gt;
= Pipeline Overview =&lt;br /&gt;
== Step 1: Download ==&lt;br /&gt;
In the downloader step, mutation lists will be downloaded from each source. Refer to each individual source below for downloading instructions. Downloader scripts are located at &amp;lt;code&amp;gt;pipeline/download_step1/$RESOURCE&amp;lt;/code&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
=== Download: cBioPortal ===&lt;br /&gt;
1. Download mutation data: &amp;lt;code&amp;gt;fetch_mutations.sh&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This script uses [https://www.cbioportal.org/api/swagger-ui/index.html cBioPortal API] Studies endpoint to fetch the complete list of available study IDs, and fetches mutation data in the JSON format for every possible Molecular Profile and Sample List for each study.&lt;br /&gt;
&lt;br /&gt;
2. Download cancer types: &amp;lt;code&amp;gt;cancer_types.sh&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This script fetches cancer types associated with each study ID in order to map study IDs to Disease Ontology IDs (DOID) in the Step 2: Convert.&lt;br /&gt;
&lt;br /&gt;
=== Download: CIViC ===&lt;br /&gt;
A VCF for the monthly relaease of accepted variants was downloaded from: https://civicdb.org/releases/main&lt;br /&gt;
&lt;br /&gt;
== Step 2: Convert ==&lt;br /&gt;
In the convert step, all resources are formatted to the BioMuta standard for both data and field structure. Conversion scripts are located at &amp;lt;code&amp;gt;pipeline/convert_step2/$RESOURCE&amp;lt;/code&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
For each resource, a conversion is done from the raw format provided by the resource, to a format aligned with past versions of the Biomuta pipeline.&lt;br /&gt;
&lt;br /&gt;
With a common format, all resources can then be combined into a master dataset.&lt;br /&gt;
&lt;br /&gt;
See the individual resource pages for details on the conversion:&lt;br /&gt;
&lt;br /&gt;
== Convert: cBioPortal ==&lt;br /&gt;
&lt;br /&gt;
=== Scripts ===&lt;br /&gt;
==== Liftover ====&lt;br /&gt;
Located at &amp;lt;code&amp;gt;pipeline/convert_step2/liftover&amp;lt;/code&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
In this step GRCh37 genomic positions in cBioPortal raw JSON files are converted to GRCh38 using the command-line [https://genome.ucsc.edu/cgi-bin/hgLiftOver LiftOver tool] by UCSC.&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;1_chr_pos_to_bed.py&amp;lt;/code&amp;gt; outputs GRCh37 genomic positions in the BED format&lt;br /&gt;
* &amp;lt;code&amp;gt;2_liftover.sh&amp;lt;/code&amp;gt; takes the BED file and performs the conversion to GRCh38&lt;br /&gt;
&lt;br /&gt;
==== Conversion ====&lt;br /&gt;
* &amp;lt;code&amp;gt;1_generate_cancer_do_json.py&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;2_parse_gff.py&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;3_1_ensp_to_uniprot_from_glygen.py&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;3_2_ensp_to_uniprot_api.sh&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;4_1_canonical_yes_no.py&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;4_2_merge_canonical.py&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;5_compare_fasta.py&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;6_1_create_dict_faster.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Procedure ===&lt;br /&gt;
&amp;lt;code&amp;gt;1_generate_cancer_do_json.py&amp;lt;/code&amp;gt; is a standalone script. The rest of the scripts must be run sequentially.&lt;br /&gt;
&lt;br /&gt;
==== Summary ====&lt;br /&gt;
The python script &amp;lt;code&amp;gt;1_generate_cancer_do_json.py&amp;lt;/code&amp;gt; will take the JSON dictionary downloaded in step 1 mapping study IDs to cancer types and use it as an intermediary to map study IDs to DO cancer slim terms listed in the description at the beginning of this page.&lt;br /&gt;
&lt;br /&gt;
The rest of the conversion goes in this order:&lt;br /&gt;
* &amp;lt;code&amp;gt;2_parse_gff.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Parses the annotations file located at &amp;lt;code&amp;gt;downloads/ensembl/Homo_sapiens.GRCh38.113.db&amp;lt;/code&amp;gt; using the &amp;lt;code&amp;gt;gffutils&amp;lt;/code&amp;gt; Python package (see this [https://github.com/daler/gffutils GitHub page]). Each genomic position in the raw JSON files is assigned its corresponding ENSEMBL protein ID (prefix &amp;lt;code&amp;gt;ENSP&amp;lt;/code&amp;gt;). Outputs &amp;lt;code&amp;gt;chr_pos_to_ensp.tsv&amp;lt;/code&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;3_1_ensp_to_uniprot_from_glygen.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Takes &amp;lt;code&amp;gt;chr_pos_to_ensp.tsv&amp;lt;/code&amp;gt; and maps each ENSP ID to its corresponding UniProt accession number using &amp;lt;code&amp;gt;downloads/glygen/human_protein_transcriptlocus.csv&amp;lt;/code&amp;gt; from [https://data.glygen.org/GLY_000135 GlyGen].&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;3_2_ensp_to_uniprot_api.sh&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Maps all remaining ENSP IDs to UniProt accession numbers not found in &amp;lt;code&amp;gt;human_protein_transcriptlocus.csv&amp;lt;/code&amp;gt; using UniProt API.&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;4_1_canonical_yes_no.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Filters out non-canonical UniProt accession numbers.&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;4_2_merge_canonical.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Merges the filtered outputs of &amp;lt;code&amp;gt;3_1_ensp_to_uniprot_from_glygen.py&amp;lt;/code&amp;gt; and &amp;lt;code&amp;gt;3_2_ensp_to_uniprot_api.sh&amp;lt;/code&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;5_compare_fasta.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Compares canonical FASTA sequences to their ENSEMBL couterparts.&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;6_1_create_dict_faster.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Creates the dictionary used in the combining step.&lt;br /&gt;
&lt;br /&gt;
== Convert: CIVIC ==&lt;br /&gt;
&lt;br /&gt;
=== Scripts ===&lt;br /&gt;
* genomic liftover &amp;gt; convert_civic_vcf.py &amp;gt; map_civic_csv.py&lt;br /&gt;
&lt;br /&gt;
=== Procedure ===&lt;br /&gt;
&#039;&#039;&#039;Perform liftover of mutations from GRCh37 to GRCh38&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
==== Summary ====&lt;br /&gt;
The most recent data release for CIVIC is aligned to the GRCH37 human reference genome. For this update, we are using the human reference genome GRCh38.&lt;br /&gt;
&lt;br /&gt;
To convert coordinates between the two reference genomes, we use a ‘liftover’ tool to remap the genomic coordinates. The CIVIC file is very small in size, so we can use the ENSEMBL online liftover tool: [https://useast.ensembl.org/Homo_sapiens/Tools/AssemblyConverter?db=core](https://useast.ensembl.org/Homo_sapiens/Tools/AssemblyConverter?db=core)&lt;br /&gt;
&lt;br /&gt;
Run the downloaded VCF through the tool with the default parameters (change the file type to VCF). &lt;br /&gt;
&lt;br /&gt;
Redownload the transformed VCF and use that VCF for the next step.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run convert_civic_vcf.py&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
==== Summary ====&lt;br /&gt;
The python script `convert_civic_vcf.py` will convert the VCF formatted file to a CSV file.&lt;br /&gt;
&lt;br /&gt;
With the VCF format, each mutation line in the file can contain multiple annotations and annotation-specific information.&lt;br /&gt;
&lt;br /&gt;
The output CSV format will contain only one annotation per line with associated annotation-specific information.&lt;br /&gt;
&lt;br /&gt;
In order to know how the information for the mutation and annotation fields are structured, a schema describing the fields is provided to the script.&lt;br /&gt;
&lt;br /&gt;
==== Example Line Transformation ====&lt;br /&gt;
&#039;&#039;&#039;Input VCF lines&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
mutation A info | mutation A annotation 1 info | mutation A annotation 2 info &lt;br /&gt;
&lt;br /&gt;
mutation B info | mutation B annotation 1 info | mutation B annotation 2 info | mutation B annotation 3 info&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Output CSV lines&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
mutation A info,annotation 1 info&lt;br /&gt;
&lt;br /&gt;
mutation A info,annotation 2 info &lt;br /&gt;
&lt;br /&gt;
mutation B info,annotation 1 info &lt;br /&gt;
&lt;br /&gt;
mutation B info,annotation 2 info &lt;br /&gt;
&lt;br /&gt;
mutation B info,annotation 3 info&lt;br /&gt;
&lt;br /&gt;
==== Script Specifications ====&lt;br /&gt;
The script must be called from the command line and takes specific command line arguments:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Input&#039;&#039;&#039;&lt;br /&gt;
* -i: A path to the CIVIC VCF file&lt;br /&gt;
* -p: A prefix used for naming the output files&lt;br /&gt;
* -o: A path to the output folder, where the mutation data CSV will go&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Output&#039;&#039;&#039;&lt;br /&gt;
* A CSV file with mutation data&lt;br /&gt;
&lt;br /&gt;
==== Usage ====&lt;br /&gt;
&lt;br /&gt;
python convert_civic_vcf.py -h&lt;br /&gt;
&lt;br /&gt;
Gives a description of the necessary commands&lt;br /&gt;
&lt;br /&gt;
python convert_civic_vcf.py -i &amp;lt;path/input_file.vcf&amp;gt; -s &amp;lt;path/schema.json&amp;gt; -o &amp;lt;path/&amp;gt;&lt;br /&gt;
Runs the script with the given input VCF and outputs a CSV file.&lt;br /&gt;
&lt;br /&gt;
=== Run map_civic_csv.py ===&lt;br /&gt;
&lt;br /&gt;
==== Summary ==== &lt;br /&gt;
&lt;br /&gt;
The python script map_civic_csv.py will take the output of the TCGA download step and:&lt;br /&gt;
&lt;br /&gt;
Map the data to:&lt;br /&gt;
uniprot accessions&lt;br /&gt;
doid parent terms&lt;br /&gt;
Rename fields&lt;br /&gt;
Reformat fields:&lt;br /&gt;
amino acid change and position&lt;br /&gt;
chromosome id&lt;br /&gt;
genomic location&lt;br /&gt;
nucleotide change&lt;br /&gt;
remove indels&lt;br /&gt;
transform NA values&lt;br /&gt;
&lt;br /&gt;
==== Script Specifications ==== &lt;br /&gt;
&lt;br /&gt;
The script must be called from the command line and takes specific command line arguments:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Input&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
-i: A path to the CIVIC CSV file&lt;br /&gt;
-m: A path to the folder containing mapping files&lt;br /&gt;
-d: The name of the doid mapping file&lt;br /&gt;
-e: The name of the ensp to uniprot accession mapping file&lt;br /&gt;
-o: A path to the output folder&lt;br /&gt;
&#039;&#039;&#039;Output&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
A CSV file with mutation data mapped to doid terms and uniprot accessions&lt;br /&gt;
==== Usage ====&lt;br /&gt;
&lt;br /&gt;
python map_civic_csv.py -h&lt;br /&gt;
&lt;br /&gt;
Gives a description of the necessary commands&lt;br /&gt;
&lt;br /&gt;
python map_civic_csv.py -i &amp;lt;path/input_file.vcf&amp;gt; -m &amp;lt;path/mapping_folder&amp;gt; -d &amp;lt;doid_mapping_file_name&amp;gt; -e &amp;lt;ensp_mapping_file_name&amp;gt; -o &amp;lt;path/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Runs the script with the given input CSV and outputs a CSV with mutation mapped to doid terms and uniprot accessions.&lt;br /&gt;
&lt;br /&gt;
[[Additional notes- CIVIC]]&lt;br /&gt;
&lt;br /&gt;
== Convert: COSMIC ==&lt;br /&gt;
&lt;br /&gt;
=== Scripts ===&lt;br /&gt;
* map_cosmic_tsv.py&lt;br /&gt;
&lt;br /&gt;
=== Procedure ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run map_cosmic_tsv.py&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
==== Summary ====&lt;br /&gt;
The python script `map_cosmic_tsv.py` will take the output of the TCGA download step and:&lt;br /&gt;
* Map the data to:&lt;br /&gt;
  * uniprot accessions&lt;br /&gt;
  * doid parent terms&lt;br /&gt;
* Rename fields&lt;br /&gt;
* Reformat fields:&lt;br /&gt;
  * amino acid change and position&lt;br /&gt;
  * chromosome id&lt;br /&gt;
  * genomic location&lt;br /&gt;
  * nucleotide change&lt;br /&gt;
&lt;br /&gt;
==== Script Specifications ====&lt;br /&gt;
The script must be called from the command line and takes specific command line arguments.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Input&#039;&#039;&#039;&lt;br /&gt;
* -i : A path to the cosmic tsv mutation file&lt;br /&gt;
* -m : A path to the folder containing mapping files&lt;br /&gt;
* -d : The name of the doid to cosmic cancer type mapping file&lt;br /&gt;
* -e : The name of the enst to uniprot accession mapping file&lt;br /&gt;
* -o : A path to the folder to export the final mapped mutations&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Output&#039;&#039;&#039;&lt;br /&gt;
* A mutation file with COSMIC mutations mapped to doid terms and uniprot accessions&lt;br /&gt;
&lt;br /&gt;
==== Usage ====&lt;br /&gt;
&lt;br /&gt;
map_cosmic_tsv -h&lt;br /&gt;
&lt;br /&gt;
Gives a description of the necessary commands&lt;br /&gt;
&lt;br /&gt;
python map_cosmic_tsv.py -i &amp;lt;path/cosmic_file_name.tsv&amp;gt; -m &amp;lt;path/mapping_folder&amp;gt; -d &amp;lt;doid_mapping_file_name&amp;gt; -e &amp;lt;enst_mapping_file_name&amp;gt; -o &amp;lt;path/output_folder&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Runs the script with the given input file and exports the mapped mutation file.&lt;br /&gt;
&lt;br /&gt;
[[Additional Notes for COSMIC]]&lt;br /&gt;
&lt;br /&gt;
== Step 3: Combine ==&lt;br /&gt;
In the combined step, all resources are combined into a master dataset. The scripts are located at &amp;lt;code&amp;gt;pipeline/combine_step3&amp;lt;/code&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
=== Scripts ===&lt;br /&gt;
* &amp;lt;code&amp;gt;combine_cbio.py&amp;lt;/code&amp;gt;&lt;br /&gt;
* &amp;lt;code&amp;gt;combine_csv.py&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Procedure ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Run &amp;lt;code&amp;gt;combine_cbio.py&amp;lt;/code&amp;gt;, then &amp;lt;code&amp;gt;combine_csv.py&amp;lt;/code&amp;gt;&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
==== Summary ====&lt;br /&gt;
All of the mutation data for each source was converted to a standardized data structure in the convert step.&lt;br /&gt;
&lt;br /&gt;
Now, all of these separate csv files (one for each source) will be combined into a master CSV file.&lt;br /&gt;
&lt;br /&gt;
All CSV files to be combined should be in a folder together with no additional CSV files.&lt;br /&gt;
&lt;br /&gt;
==== Script Specifications ====&lt;br /&gt;
The script must be called from the command line and takes specific command line arguments.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Input&#039;&#039;&#039;&lt;br /&gt;
* -i : The folder containing CSV mutation files to combine&lt;br /&gt;
* -o : The folder to output the combined mutation file&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Output&#039;&#039;&#039;&lt;br /&gt;
* A CSV file combining all CSV files in a given folder&lt;br /&gt;
&lt;br /&gt;
==== Usage ====&lt;br /&gt;
&lt;br /&gt;
python combine_csv.py -h&lt;br /&gt;
&lt;br /&gt;
Gives a description of the necessary commands&lt;br /&gt;
&lt;br /&gt;
python combine_csv.py -i &amp;lt;path/&amp;gt; -o &amp;lt;path/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Runs the script with the given folder and combines all CSV files in that folder&lt;br /&gt;
&lt;br /&gt;
[[Final Fields]]&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Projects&amp;diff=443</id>
		<title>Projects</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Projects&amp;diff=443"/>
		<updated>2025-03-10T14:16:52Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added to a sentence&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE:&amp;lt;span style=&amp;quot;position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);&amp;quot;&amp;gt;{{FULLPAGENAME}}&amp;lt;/span&amp;gt;}}&lt;br /&gt;
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        &amp;lt;div style=&amp;quot;font-size:160%; padding:.1em;&amp;quot;&amp;gt;Current Projects&amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
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    &amp;lt;div style=&amp;quot;flex: 1; margin: 5px; min-width: 210px; border: 1px solid #CCC;	padding: 0 10px 10px 10px; box-shadow: 0 2px 2px rgba(0,0,0,0.1); background: #f5faff;&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;h3&amp;gt;[https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main The High-performance Integrated Virtual Environment (HIVE) platform]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
HIVE is a cloud-based environment optimized for the storage and analysis of extra-large data, such as biomedical data, clinical data, next-generation sequencing (NGS) data, mass spectrometry files, confocal microscopy images, post-market surveillance data, medical recall data, and many others. HIVE provides secure web access for authorized users to deposit, retrieve, annotate and compute on Big Data, and analyze the outcomes using web user interfaces. [https://docs.google.com/document/d/1F5iq00uKkJfdSsbwanvKOy-nPnwijH56mwbwa_HhzfY/edit?tab=t.0#heading=h.7dlfmngwfzih More here].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[[GW-HIVE WIKI]]&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
	&amp;lt;div style=&amp;quot;flex: 1; margin: 5px; min-width: 210px; border: 1px solid #CCC;	padding: 0 10px 10px 10px; box-shadow: 0 2px 2px rgba(0,0,0,0.1); background: #f5faff;&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;h3&amp;gt;[https://argosdb.org/ FDA-ARGOS Project (Food and Drug Administration-dAtabase for Regulatory-Grade micrObial Sequences)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
The FDA-ARGOS Project (Food and Drug Administration-dAtabase for Regulatory-Grade micrObial Sequences) is a collaborative effort to create a high-quality genomic database for identifying and characterizing microbial pathogens. Developed in partnership with the FDA, University of Maryland, and NCBI, the project provides regulatory-grade genomic data, crucial for public health and diagnostic use. Expanded in 2021 with support from GWU, Temple University, and Embleema, FDA-ARGOS aims to enhance infectious disease research through rigorous quality control protocols. The ArgosDB hosts this data, offering downloadable sequences and reproducible workflows for research and regulatory applications.[https://www.fda.gov/medical-devices/science-and-research-medical-devices/database-reference-grade-microbial-sequences-fda-argos More here].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[[FDA-ARGOS WIKI]]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
    &amp;lt;div style=&amp;quot;flex: 1; margin: 5px; min-width: 210px; border: 1px solid #CCC;	padding: 0 10px 10px 10px; box-shadow: 0 2px 2px rgba(0,0,0,0.1); background: #f5faff;&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;h3&amp;gt;[https://www.biocomputeobject.org/ BioCompute Objects (BCO)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
The BioCompute is FDA funded project to establish a framework for community-based development of standards for harmonization of High-throughput Sequencing (HTS), standardization of data formats, promotion of interoperability, and bioinformatics verification protocols. The BioCompute Object (BCO) was developed in the High-throughput Sequencing Computational Standards for Regulatory Sciences (HTS-CSRS) initiative in the BioCompute Objects Portal (BOP), a web portal to serve as a collaborative ground to encourage a dialogue to facilitate interoperability between different bioinformatic pipelines, industries, and developers. HIVE capabilities have been leveraged to support the development of the BCO. The BCO is versatile and adaptable to other common HTS analysis platforms. [https://docs.google.com/document/d/1WQFZm_PFiQXob4NyOKq6y-2ywnbmNoFHSS27fYf3l4Y/edit?tab=t.0#heading=h.bs8eki17tykx More here].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.biocomputeobject.org/Main_Page BIOCOMPUTE OBJECTS WIKI]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;div style=&amp;quot;flex: 1; margin: 5px; min-width: 210px; border: 1px solid #CCC;	padding: 0 10px 10px 10px; box-shadow: 0 2px 2px rgba(0,0,0,0.1); background: #f5faff;&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;h3&amp;gt;[https://www.glygen.org/ GlyGen]&amp;lt;/h3&amp;gt;&lt;br /&gt;
	&amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
GlyGen (gly-glycobiology; gen-information), [https://www.glygen.org/&amp;lt;nowiki&amp;gt;] is an advanced glycoinformatics resource developed to facilitate discovery in basic and translational glycobiology research along with enhancing the integration of multidisciplinary information from diverse resources. GlyGen includes knowledge about molecular, biophysical and functional properties of glycans, genes, and proteins organized in pathways and ontologies, plus a rapidly growing body of biological big data related to cancer mutation and expression. GlyGen adopts an innovative user-driven approach for implementing, prioritizing and knowledge disseminating tools to address the questions and needs of glycobiology community. GlyGen is funded by the National Institute of General Medical Sciences under the grant # 1R24GM146616 - 01 and the  National Institutes of Health Office of Strategic Coordination - The Common Fund under the grant # 1OT2OD032092. More information about GlyGen - &amp;lt;/nowiki&amp;gt;https://www.glygen.org/about/ &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.glygen.org/Main_Page GlyGen WIKI]&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&amp;lt;div id=&amp;quot;ggw_row3&amp;quot; style=&amp;quot;display: flex; flex-flow: row wrap; justify-content: space-between; padding: 0; margin: 0 -5px 0 -5px;&amp;quot;&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.biochemistry.gwu.edu/predictmod PredictMod]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
PredictMod is an application designed to predict the outcome of an intervention prior to a patient initiating treatment. Our goal is to provide clinicians with a powerful decision making tool that enhances clinical understanding of patient-level data. The PredictMod platform utilizes machine learning tools and complex datasets based on electronic health records, gut microbiome, and -omics data to forecast patient outcomes, often in response to treatment for a particular condition. While our primary condition of interest is Prediabetes, the tool is designed to be used for a variety of conditions, interventions, and data types.  &amp;lt;br&amp;gt; &amp;lt;br&amp;gt;&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/PredictMod PredictMod WIKI]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
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    &amp;lt;div style=&amp;quot;flex: 1; margin: 5px; min-width: 210px; border: 1px solid #CCC;	padding: 0 10px 10px 10px; box-shadow: 0 2px 2px rgba(0,0,0,0.1); background: #f5faff;&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;h3&amp;gt;[[GW-FEAST]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
The GW Federated Ecosystems for Analytics and Standardized Technologies (GW-FEAST) project is part of the ARPA-H FEAST performer team initiative that includes academic and industry partners. The goal of the ARPA-H performer teams is “to create bridges across data silos to make health data more accessible and usable”. &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/GW-FEAST GW-FEAST WIKI]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
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    &amp;lt;div style=&amp;quot;flex: 1; margin: 5px; min-width: 210px; border: 1px solid #CCC;	padding: 0 10px 10px 10px; box-shadow: 0 2px 2px rgba(0,0,0,0.1); background: #f5faff;&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;h3&amp;gt;[https://hivelab.biochemistry.gwu.edu/biomarker-partnership Biomarker Knowledgebase]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
The Biomarker Partnership is a CFDE sponsored project to develop a knowledgebase that will organize and integrate biomarker data from different public sources. The data will be connected to contextual information to show a novel systems-level view of biomarkers. The motivation for this project is to improve the harmonization and organization of biomarker data. This will be done by mapping biomarkers from public sources to, and across, CF data elements. This mapping will bridge knowledge across multiple DCCs and biomedical disciplines.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.biomarkerkb.org/Main_Page BioMarkerKB WIKI]&lt;br /&gt;
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        &amp;lt;div style=&amp;quot;font-size:160%; padding:.1em;&amp;quot;&amp;gt;Past Projects&amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/gfkb Gut Microbiome Analytic System (Microbiome)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
The HIVE team received NSF funding to develop a Gut Microbiome Monitoring System (GutFeeling) as a tool which when used over time will allow users to rectify their dietary (such as consumption of probiotics and prebiotics) and other lifestyle habits and to help restore their normal microbiome. Rapid analysis of the large amount of metagenomic data, a major bottleneck, has been resolved by our group through the development of a novel algorithm and accompanying software called CensuScope. Through analysis of healthy gut microbiome data, we are actively developing a Knowledge Base (GutFeelingKB) to provide a clearer picture of not only an ideal personalized microbiome but also establish baseline characteristics for each customer. The Mazumder Lab is collaborating with the Milken School of Public Health and Kamtek Sequencing Facility to investigate the relationship between bacterial species commonly present in the digestive tract, diet, physical activity, lifestyle habits, and metabolic risk factors. [https://docs.google.com/document/d/18WyVTJrrf-FR0sHt634vO8Lwel-4OQxP9sNar7gYYro/edit?tab=t.0#heading=h.7qbm3f7lky31 More here].&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;HIVE-EQAPOL Project on HIVE NGS Data Processing and Analysis&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
For this project, our group works closely with the External Quality Assurance Program Oversight Laboratory (EQAPOL) team to conduct HIV NGS data analysis and collaborate in terms of analyzing, storing, and tracking HIV NGS Data. Reliable identification of strains is critical for developing new assays, validating assay platforms, assisting regulators to evaluate test kits, monitoring HIV drug resistance, and informing vaccine development. The HIVE tools and platform are used for virus identification, recombination analysis, and clone discovery.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://www.oncomx.org/ OncoMX]&amp;lt;/h3&amp;gt;&lt;br /&gt;
	&amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
The OncoMX mission is to create an integrated cancer mutation and expression resource for exploring cancer biomarkers. OncoMX is a collaboration between the George Washington University (GW), NASA&#039;s Jet Propulsion Laboratory (JPL), the Swiss Institute of Bioinformatics (SIB), and the University of Delaware (UD). The core knowledgebase of OncoMX is derived from BioMuta and BioXpress integrated cancer mutation and expression databases which are actively maintained. Normal expression data from Bgee and custom text mining software augment the cancer data to improve functional interpretation of the reported variants and expression profiles. All data are wrapped into the OncoMX database and web portal, mapped to additional functional information from NCI Early Detection Research Network (EDRN) and Reactome. It is expected that the large-scale integration of cancer data and supporting information, provided by OncoMX with direct community feedback, will benefit cancer research by improving synthesis of information and may make earlier detection a reality.&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main Glycoproteomics Characterization Workflow and Data-Analysis Pipeline for Vaccines and Biosimilars]&amp;lt;/h3&amp;gt;&lt;br /&gt;
	&amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
In this FDA funded project we are extending High-performance Integrated Virtual Environment (HIVE) capabilities through the development and integration of software tools and datasets for comparative analysis of glycoproteins. Glycomic analysis has many angles and has been extensively reviewed in recent literature. We propose to rely on the independent development of the glycomics field and incorporate these approaches in the HIVE pipeline as they mature while we develop a standardized glycoinformatics pipeline that will benefit investigators and regulators at the FDA.&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[Tool Resources]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&#039;&#039;&#039;&#039;&#039;Main article:&#039;&#039;&#039; [[Tool Resources]]&#039;&#039;&amp;lt;br&amp;gt;There are a variety of bioinformatic tool resources developed by our team.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[Dataset Resources]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&#039;&#039;&#039;&#039;&#039;Main article:&#039;&#039;&#039; [[Dataset Resources]]&#039;&#039;&amp;lt;br&amp;gt;There are a variety of bioinformatic dataset resources integrated by our team.&lt;br /&gt;
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		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=293</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=293"/>
		<updated>2025-02-04T15:42:56Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added a link&lt;/p&gt;
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&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Lab Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://pubmed.ncbi.nlm.nih.gov/30053270/ PMID: 30053270].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20). [https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015. [https://link.springer.com/referenceworkentry/10.1007/978-94-007-7741-5_40-1 Springer Nature link].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=292</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=292"/>
		<updated>2025-02-04T15:38:39Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added a link&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Lab Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://pubmed.ncbi.nlm.nih.gov/30053270/ PMID: 30053270].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20). [https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=291</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=291"/>
		<updated>2025-02-04T15:32:03Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Replaced wrong link&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Lab Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://pubmed.ncbi.nlm.nih.gov/30053270/ PMID: 30053270].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=290</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=290"/>
		<updated>2025-02-04T15:28:34Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Removed broken link&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Lab Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/5753215 PMCID: 5753215].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=289</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=289"/>
		<updated>2025-02-04T15:26:33Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Fixed a link&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Lab Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. https://0.1371/journal.pone.0206484 [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/5753215 PMCID: 5753215].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=288</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=288"/>
		<updated>2025-02-04T15:25:03Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Added a link&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Lab Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. https://0.1371/journal.pone.0206484 [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/5753215 PMCID: 5753215].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=287</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=287"/>
		<updated>2025-02-04T15:20:10Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: Fixed a typo&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Lab Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; ceur-ws.org.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. https://0.1371/journal.pone.0206484 [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/5753215 PMCID: 5753215].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Tool_Resources&amp;diff=273</id>
		<title>Tool Resources</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Tool_Resources&amp;diff=273"/>
		<updated>2025-01-21T18:04:54Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: syntax&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;Tools/Applications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main GW HIVE] - GW instance of the High-performance Integrated Virtual Environment (PMID: [https://pubmed.ncbi.nlm.nih.gov/25271953/ 25271953]; [https://pubmed.ncbi.nlm.nih.gov/26989153/ 26989153])&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;AWS HIVE - AWS instance of the High-performance Integrated Virtual Environment (PMID: [https://pubmed.ncbi.nlm.nih.gov/25271953/ 25271953]; [https://pubmed.ncbi.nlm.nih.gov/26989153/ 26989153])&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://www.biocomputeobject.org/ BioCompute Objects Portal (BCOP)] - Portal for making BioCompute objects&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://www.biocomputeobject.org/ PhyloSNP] - generate phylogenetic trees from single-nucleotide variation data (PMID: [https://pubmed.ncbi.nlm.nih.gov/24930720 24930720])&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/CensuScope CensuScope] - detect taxonomic composition of a metagenomic data set (PMID: [https://pubmed.ncbi.nlm.nih.gov/25336203 25336203])&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/predictmod PredictMod] - A machine-learning-based platform for tools that predict patient-based clinical outcomes (PMID: [https://pubmed.ncbi.nlm.nih.gov/33814114 33814114])&amp;lt;/li&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Resources&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/biomuta_overview BioMuta] - browse human disease associated single-nucleotide variations (PMID: [https://pubmed.ncbi.nlm.nih.gov/24667251/ 24667251])&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/bioxpress_overview BioXpress] - a curated gene expression and disease association database. (PMID: [https://pubmed.ncbi.nlm.nih.gov/25819073/ 25819073])&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/gfkb Gut Feeling Knowledge Base] - Gut feeling knowledgebase is a reference database of healthy human gut microbiome. (DOI:[https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0206484 10.1371/journal.pone.0206484])&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/tools FilteredNT]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://www.oncomx.org/ OncoMX] - KB of unified cancer genomics data from integrated mutation, expression, literature, and biomarker databases, accessible through web portal&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;[https://www.glygen.org/ GlyGen] - data integration and dissemination project for carbohydrate and glycoconjugate related data.&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=People&amp;diff=213</id>
		<title>People</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=People&amp;diff=213"/>
		<updated>2024-12-04T16:50:35Z</updated>

		<summary type="html">&lt;p&gt;Maria.kim: ORCID link&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;GW Faculty&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;table&amp;gt;&lt;br /&gt;
    &amp;lt;tr&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;text-align: center; padding: 25px&amp;quot;&amp;gt;&lt;br /&gt;
            [[File:Raja-Mazumder.png|150px|thumb|&amp;lt;span style=&amp;quot;font-weight:bold;&amp;quot;&amp;gt;[https://apps.smhs.gwu.edu/smhs/facultydirectory/profile.cfm?empName=Raja%20Mazumder&amp;amp;FacID=2067473740| Raja Mazumder]&amp;lt;/span&amp;gt;, Professor]]&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
&amp;lt;td style=&amp;quot;text-align: center; padding: 25px&amp;quot;&amp;gt;&lt;br /&gt;
            [[File:Robel.Kahsay.jpg|150px|thumb|&amp;lt;span style=&amp;quot;font-weight:bold;&amp;quot;&amp;gt;[https://apps.smhs.gwu.edu/smhs/facultydirectory/profile.cfm?empName=Robel%20Kahsay&amp;amp;FacID=2051216059| Robel Kashay]&amp;lt;/span&amp;gt;, Asst Professor]]&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
&amp;lt;td style=&amp;quot;text-align: center; padding: 25px&amp;quot;&amp;gt;&lt;br /&gt;
            [[File:McNeely.Patrick.jpg|130px|thumb|&amp;lt;span style=&amp;quot;font-weight:bold;&amp;quot;&amp;gt;[https://apps.smhs.gwu.edu/smhs/facultydirectory/profile.cfm?empName=Patrick%20McNeely&amp;amp;FacID=2065037504&amp;amp;show=1| Pat McNeely]&amp;lt;/span&amp;gt;, Asst Professor]]&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
&amp;lt;td style=&amp;quot;text-align: center; padding: 25px&amp;quot;&amp;gt;&lt;br /&gt;
            [[File: Jonathon.Keeney.png|150px|thumb|&amp;lt;span style=&amp;quot;font-weight:bold;&amp;quot;&amp;gt;[https://apps.smhs.gwu.edu/smhs/facultydirectory/profile.cfm?empName=Jonathon%20Keeney&amp;amp;FacID=2056964816| Jonathon Keeney]&amp;lt;/span&amp;gt;, Asst Professor]]&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
    &amp;lt;/tr&amp;gt;&lt;br /&gt;
&amp;lt;/table&amp;gt;&lt;br /&gt;
&amp;lt;h2&amp;gt;PI&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&lt;br /&gt;
    [https://orcid.org/0000-0001-8823-9945 Raja Mazumder] - &lt;br /&gt;
    [https://apps.smhs.gwu.edu/smhs/facultydirectory/profile.cfm?empName=Raja%20Mazumder&amp;amp;FacID=2067473740 Faculty Bio]&lt;br /&gt;
&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Past FDA HIVE Project Lead/s&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Vahan Simonyan (FDA-HIVE)&amp;lt;br&amp;gt;Konstantinos Karagiannis (FDA-HIVE)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Current GW HIVE Lab Members&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;table&amp;gt;&lt;br /&gt;
    &amp;lt;tr&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0009-0006-1223-1895 Sean Kim]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Daniall Masood]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Kate Warner]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Tianyi Wang]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Emily Pennington]&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0000-0002-5317-1458 Jeet Kiran Vora]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0009-0007-4585-7314 Lori Krammer]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0000-0001-8823-9945 Raja Mazumder]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0000-0002-5381-9744 Urnisha Bhuiyan]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0009-0000-7970-7815 Christie Woodside]&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0000-0002-7665-6204 Jonathon Keeney]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Patrick McNeely]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Robel Kahsay]&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
    &amp;lt;/tr&amp;gt;&lt;br /&gt;
&amp;lt;/table&amp;gt;&lt;br /&gt;
&amp;lt;h2&amp;gt;Current Volunteers and Part-time Members&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;table&amp;gt;&lt;br /&gt;
    &amp;lt;tr&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://www.linkedin.com/in/vishal-bakshi/ Vishal Bakshi]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Miguel Mazumder]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://orcid.org/0009-0002-5733-1495 Maria Kim]&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Reeya Gupta]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Cyrus Chun Hong AU YEUNG]&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;[https://hivelab.biochemistry.gwu.edu/wiki/people Nikhil Aritheya]&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
    &amp;lt;/tr&amp;gt;&lt;br /&gt;
&amp;lt;/table&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Current FDA HIVE Collaborators&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;table&amp;gt;&lt;br /&gt;
    &amp;lt;tr&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Alexander Lukyanov&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Anton Golikov&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Ilya Mazo&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Luis Santana-Quintero&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Tigran Ghazanchyan&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Viswanadham Sridhara&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
    &amp;lt;/tr&amp;gt;&lt;br /&gt;
&amp;lt;/table&amp;gt;&lt;br /&gt;
&amp;lt;h2&amp;gt;Past Members&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;table&amp;gt;&lt;br /&gt;
    &amp;lt;tr&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Karina Martinez&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Joe Gergely&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Stephanie Singleton&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Jingyue Wu&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Daniel Lyman&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Millicent Quartey&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;April Yang&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Arya Eskandarian&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Chris Armstrong&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Deepika Prasad&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Dipankar Chattopadhyay&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Hasmik Manukyan&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Hayley Dingerdissen&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Jenna Murrow&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;John Dougherty&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Kamil Kural&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Krista Smith&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Lindsay Hopson&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Marianna Faradzheva&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Marla Surette&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Nagarajan Pattabiraman&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Nikhita Gogate&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Rahi Navelkar&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Sean Smith&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
        &amp;lt;td style=&amp;quot;padding-left: 20px; vertical-align: top;&amp;quot;&amp;gt;&lt;br /&gt;
            &amp;lt;ul&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Sergey Ivanovsky&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Sydney Fenstermaker&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Vyacheslav Furtak&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Wei-Lun Alterovitz&amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;Xiying Ding&amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/td&amp;gt;&lt;br /&gt;
    &amp;lt;/tr&amp;gt;&lt;br /&gt;
&amp;lt;/table&amp;gt;&lt;/div&gt;</summary>
		<author><name>Maria.kim</name></author>
	</entry>
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