BLAST searches, protein structure rendering, sequencing QC, literature mining โ through natural language in any chat.
One agent, every surface โ real results delivered back to the conversation.
Channel config โ docs/CHANNELS.md ยท Local web includes lab trace (SSE timeline) โ docs/DASHBOARD.md

Send a natural language message โ BioClaw handles the rest, returning results directly to your chat.
Analyze files and recommend the best next analysis steps.
โRun FastQC on FASTQ files and deliver the QC report.
โBLAST a protein sequence against NCBI nr database.
โCreate differential expression plots from a CSV file.
โFetch a PDB structure, render with PyMOL, send image.
โSearch PubMed and provide structured paper summaries.
โVisualize H-bonds between ligand and protein.
โShow residues within 5ร of a ligand as an image.
โCommand-line tools and Python libraries pre-installed in Docker, plus 25 built-in skill guides for analyses, omics workflows, and public-database lookups โ 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 is described in our preprint, and builds on the STELLA framework. If you use it in research, please cite the BioClaw preprint (and STELLA where relevant).
Questions about BioClaw or this site โ send a message below.
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