g:Profiler — multi-organism functional enrichment analysis and gene identifier mapping toolkit. Performs over-representation analysis (ORA) against Gene Ontology (GO:BP, GO:MF, GO:CC), KEGG, Reactome,
Use with AI
Install the MCP server or CLI to instantly fetch g:Profiler documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/gprofiler
MycoCLAP (Mycological Characterized and Listed Annotated Proteins) is a manually curated database of biochemically characterized fungal proteins from primary literature. Use when annotating fungal pro
2 shared topics • 2 shared operations
Use when working with DGL (Deep Graph Library) — the Python framework for building and training graph neural networks (GNNs). Apply GCN, GAT, GraphSAGE, GIN, and other GNN architectures to biological
2 shared topics • 1 shared operation
Use when working with GraphSAGE — Graph Sample and Aggregate — an inductive graph neural network framework for learning node embeddings on large graphs. Applies to biological network analysis: protein
2 shared topics • 1 shared operation
ProDy — Python library for protein dynamics analysis and structural bioinformatics. Provides elastic network models (GNM, ANM), principal component analysis (PCA) of structural ensembles and MD trajec
2 shared topics • 1 shared operation
Wm82-tools covers bioinformatics workflows for the Glycine max (soybean) Williams 82 (Wm82) reference genome — the primary reference for soybean genomics. Use cases: downloading and indexing Wm82 geno
2 shared topics • 1 shared operation