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bulk-deg-analysis

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Guide Claude through omicverse's bulk RNA-seq DEG pipeline, from gene ID mapping and DESeq2 normalization to statistical testing, visualization, and pathway enrichment. Use when a user has bulk count matrices and needs differential expression analysis in omicverse.

When to use

• bulk RNA-seq differential expression analysis
• gene ID mapping to symbols
• DESeq2 normalization
• statistical testing with t-test, edgeR, or limma
• volcano plot and boxplot visualization
• pathway enrichment analysis

When not to use

• single-cell RNA-seq analysis
• raw data generation from sequencing

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