Loading homepage
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
Use with AI
Install the MCP server or CLI to instantly fetch DGL (Deep Graph Library) documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/dgl
igraph — Fast, open-source C library with Python, R, and Mathematica interfaces for graph and network analysis. Used in biological network analysis, protein-protein interaction (PPI) networks, gene re
2 shared topics • 2 shared operations
NCBI/NIH tools — search, retrieve, and process biological data from NCBI databases (PubMed, GenBank, Gene, SRA, RefSeq, ClinVar, dbSNP, Taxonomy) using the NCBI E-utilities REST API and NCBI Datasets
2 shared topics • 2 shared operations
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 • 2 shared operations
CWLtool — reference implementation of the Common Workflow Language (CWL) for portable, reproducible bioinformatics workflows. Executes CommandLineTool, Workflow, and ExpressionTool descriptors written
2 shared topics • 1 shared operation
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,
2 shared topics • 1 shared operation