MDhewei

MDhewei / bioinfor-claw

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Your 24/7 bioinformatics copilot who make your analysis easy

26
3
100% credibility
Found Apr 20, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Bioinfor-Claw is an AI-powered bioinformatics assistant offering 50 specialized analysis tools across 10 common workflows through a simple chat interface or modular skill integration.

How It Works

1
🔍 Discover Bioinfor-Claw

You stumble upon this friendly bioinformatics helper on GitHub, promising to handle tough daily analysis tasks with simple chats.

2
📥 Grab and set up

You download the project and run one easy command to prepare everything on your computer.

3
🚀 Launch your chat buddy

With a single click, you start the web chat that opens in your browser, ready to assist.

4
🔗 Link a smart thinker

You connect a helpful AI service so your assistant can understand requests and run smart analyses.

5
💬 Ask for gene insights

You chat naturally like 'show TP53 survival in stomach cancer' or upload data for volcano plots.

6
📈 Watch magic happen

Your assistant picks perfect tools, crunches numbers, and delivers stunning plots and tables instantly.

🎉 Publish-ready results

You download beautiful figures and clean data tables, speeding up your research discoveries.

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Star Growth

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AI-Generated Review

What is bioinfor-claw?

Bioinfor-claw is a 24/7 bioinformatics copilot that turns natural language requests into publication-ready analyses like TCGA survival curves, CRISPR sgRNA design, or volcano plots. Clone the Python repo, run one command, and get a browser-based HTML chat UI powered by your choice of LLM—handles data downloads from DepMap/TCGA, multi-omics processing, and more across 50 skills in 10 scenarios. It solves the fragmentation of portals, scripts, and plotting by letting you chat for results or call skills directly in pipelines.

Why is it gaining traction?

Its dual role as standalone agent or plug-and-play skill library sets it apart—no framework lock-in, works with OpenClaw or Claude Code via simple setup scripts. Users get reproducible Python outputs (TSV/PNG/SVG) without R deps or context-switching, plus cross-turn memory for iterative workflows like "gene X survival then structure." Early adopters praise the one-shot setup and real-world coverage from GEO downloads to GSEA.

Who should use this?

Computational biologists analyzing TCGA/DepMap data, CRISPR screen designers needing sgRNA libraries, or cancer genomics researchers chaining expression, mutation, and survival plots. Ideal for wet-lab PIs giving trainees a safe AI bench tool, or pipeline builders embedding modular analyses in Snakemake/Nextflow.

Verdict

Worth cloning for daily bioinfo tasks—excellent docs and MIT license make it easy to audit/extend, despite 24 stars and 1.0% credibility score signaling early maturity. Production-ready skills outweigh the nascent agent; test on your TCGA workflow today.

(198 words)

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