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Prepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression. Covers nf-core/rnaseq and standalone quantification, biological replication, strandedness, reference provenance, validated count assembly and a PyDESeq2 handoff. Use for FASTQ-to-counts analysis, nf-core/rnaseq configuration, STAR/Salmon quantification, or building a counts matrix for DESeq2. For single-cell data use scanpy; for statistical fitting alone use pydeseq2.

Install

npx skills add K-Dense-AI/scientific-agent-skills --skill bulk-rnaseq -a claude-code

Installs to .claude/skills/bulk-rnaseq/ · Each command fetches the skill straight from GitHub with the open skills CLI.

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