Symposium 2025
The HIVE Lab symposium is scheduled for Thursday July 31, 2025. It is an exciting time for the lab volunteers and interns to present their finding on the projects they worked on for 8 weeks.
Program and Information
Symposium Venue
The HIVE lab symposium will held in person at The George Washington University, Washington DC with an option to join virtually.
In Person - Ross 647, Ross Hall, School of Health and Medical Sciences, The George Washington University, Washington DC (MAP)
Virtual - Zoom
Agenda
All times in Eastern Standard Time
| Time (ET) | Project | Title | Presenter |
| 10:00am | Welcome and Introduction | Michael Tiemeyer (10 min) | |
| Group 1 Moderator : Nathan Edwards | |||
| 10:10am | CFDE | Integrating Biocuration and Data Standardization to Generate Machine Learning-Ready Glycan Datasets | Ana Jaramillo and Yuxin Zou (20 min) |
| 10:30am | CFDE | Campbell Ross (15 min) | |
| 10:45am | CFDE | A Graph-Based AI Workflow for Mining Glycan Biomarkers and Related Annotations from Publications | Cyrus Chun Hong Au Yeung (15 min) |
| 11:00am | BiomarkerKB | (15 min) | |
| 11:15am | BiomarkerKB | (15 min) | |
| 11:30am | BiomarkerKB | (15 min) | |
| 11:45am | Open Q and A | All (30 min) | |
| 12:30pm | LUNCH (90 mins) | ||
| Group 1 Moderator : Nathan Edwards | |||
| 2:00pm | Predictmod AI-READI | Robust Classification of Glycemic Health States from Continuous Glucose | Nikhil Arethiya (15 min) |
| 2:15pm | Predictmod Curation | PredictMod: PubMed Curation for Training an LLM for Recommendation | Grace Chong, Aaron Ressom, Diya Kamalabharathy (15 min) |
| 2:30pm | Argos | (15 min) | |
| 2:45pm | GlyGen | GlyGen Biocuration Project | (20 min) |
| 3:05pm | GlycoSiteMineros | (15 min) | |
| 3:20pm | Glycobiology Web Development | A Resource Drill Down and Visualization for the Glyspace Alliance | Diya Kamalabharathy (5 min) |
| 3:25pm | Open Q and A | All (20 min) | |
| 3:45pm | Closing Remarks | Raja Mazumder | |
Project Description
GlyGen Project
The GlyGen Biocuration project focuses on integrating legacy, yet valuable, data from the CarbBank and CFG databases into the GlyGen infrastructure. A key challenge is mapping metadata, such as species names and publication references, to standardized dictionaries and ontologies. While most entries have been automatically matched using custom scripts, remaining inconsistencies, including outdated, misspelled, or abbreviated terms, require manual curation using resources such as Google, PubMed, and domain-specific dictionaries and ontologies.