BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance

1. 1Identify gene clusters from RNA-seq data
2. 2Apply BIOGEN framework to interpret gene clusters
3. 3Link cluster-specific explanations to literature
4. 4Generate hypotheses based on mechanistic context

Bioinformaticians, computational biologists, and researchers in antimicrobial resistance benefit from BIOGEN as it provides cluster-specific explanations and links to literature, facilitating hypothesis generation and mechanistic understanding

💡 BIOGEN provides evidence-grounded, cluster-specific explanations for gene clusters, advancing antimicrobial resistance research

🧬️ BIOGEN: a multi-agent framework for interpreting gene clusters in antimicrobial resistance studies