Excited to share that GlyGen & BiomarkerKB were featured at #SFG2025 Annual Meeting in San Diego, CA! Cyrus Chun Hong Au Yeung presented on a Large Language Model (LLM)-based Workflow for mining glycan biomarkers and harmonizing the results into BiomarkerKB & GlyGen. #glycotime #biomarker

The BiomarkerKB team attended the CFDE 2025 Fall Meeting (Oct 27–28) in Bethesda, MD. The team joined discussions on shared data infrastructure, interoperability, and biomarker partnerships, contributing to collaborative efforts driving biomedical discovery. #CFDE #BiomarkerKB #KnowledgeGraph

Biomarkerkb.org v1.0.4 is live! New data from Cancer Genome Interpreter & Metabolomics Workbench, added Cell & Protein Ontology links, plus a cookie fix for smoother UX. Explore the update and other features: biomarkerkb.org #knowledgegraph #biomarkerKB #bioinformatics

BiomarkerKB v1.0.3 is live! NCBI + ChEBI cross-refs now integrated. Backend upgraded to REST API for improved stability and compatibility. Explore the update and other features: biomarkerkb.org #knowledgegraph #biomarkerKB #bioinformatics

Excited to share that BiomarkerKB was featured at the #AWS Open Data Life Sciences Hackathon! Daniall Masood and Maria Kim helped build a pipeline linking primary datasets to knowledge graphs using Biolink, enabling LLM-powered querying and broader data connectivity. #biomarkerkb #knowledgegraph

We are now officially on Bluesky! 🎉 Follow BiomarkerKB, a knowledgebase in the NIH CFDE that integrates biomarker data with context to provide a systems-level view of health and disease. Explore now: biomarkerkb.org #BiomarkerKB #CFDE #DataIntegration #OmicsData #Biomarkers #Bioinformatics