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by bioMate-AI · Agent Tool · ★ 812
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BioMate-KB — Bioconductor Skills A knowledge base of 15,641 real-execution-validated Bioconductor workflow steps — the public skill bundle behind BioMate AI. Methodology and validation documented in two preprints (see Citation). Top 100 Bioconductor packages by official download score, formatted as Claude Code Skills. A skill bundle in Claude Code Skills format, covering the most-used 100 Bioconductor packages from the BioMate-KB knowledge base. Each skill teaches Claude when to choose a package, what parameters to set, how to interpret results, and what pitfalls to avoid. What's here skills/ ├── transcriptomics/ (33 skills — DESeq2, edgeR, limma, fgsea, ...) ├── genomics/ (23 skills — GenomicRanges, Rsamtools, ...) ├── general/ (16 skills — utility / cross-domain) ├── proteomics/ (8 skills — MSstats, MSnbase, Spectra, ...) ├── variant-calling/ (4 skills — VariantAnnotation, maftools, ...) ├── metagenomics/ (4 skills — phyloseq, ANCOMBC, dada2, ...) ├── single-cell/ (3 skills — Seurat, scran, scater, ...) ├── epigenomics/ (3 skills — ChIPseeker, DiffBind, methylKit, ...) ├── enrich
| Stars | 812 |
| Forks | 68 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 67.2516674479479/100 |
| Last Updated | 2026-06-20 |
| Created | 2026-05-27 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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biomate-bioconductor-kb is BioMate-KB Bioconductor Skills — 200 packages (top 100 by downloads + 100 rising stars) as vignette-grounded Claude/agent skills, with per-package workflow recipes. It is categorized as a Agent Tool with 812 GitHub stars.
biomate-bioconductor-kb is primarily written in Python.
You can find installation instructions and usage details in the biomate-bioconductor-kb GitHub repository at github.com/bioMate-AI/biomate-bioconductor-kb. The project has 812 stars and 68 forks, indicating an active community.
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