BLAST searches, protein structure rendering, sequencing QC, literature mining — through natural language in any chat.
One agent, every surface — real results delivered back to the conversation.
Channel config → docs/CHANNELS.md · Local web includes lab trace (SSE timeline) → docs/DASHBOARD.md
Send a natural language message — BioClaw handles the rest, returning results directly to your chat.
Analyze files and recommend the best next analysis steps.
↗Run FastQC on FASTQ files and deliver the QC report.
↗BLAST a protein sequence against NCBI nr database.
↗Create differential expression plots from a CSV file.
↗Fetch a PDB structure, render with PyMOL, send image.
↗Search PubMed and provide structured paper summaries.
↗Visualize H-bonds between ligand and protein.
↗Show residues within 5Å of a ligand as an image.
↗Command-line tools and Python libraries pre-installed in Docker, plus 25 built-in skill guides for analyses, omics workflows, and public-database lookups — all reachable in natural language.
Built on NanoClaw. Each group runs in an isolated Docker container with a full bioinformatics environment. Powered by the STELLA framework.
Requires Node.js 20+ and Docker Desktop. Supports Anthropic API and OpenRouter.
BioClaw builds on the STELLA framework. If you use it in research, please cite the STELLA preprint.
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— bioinformatics discussion & support 🌿