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pydeseq2

8.3

by K-Dense-AI

172Favorites
361Upvotes
0Downvotes

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

bioinformatics

8.3

Rating

0

Installs

Data & Analytics

Category

Quick Review

Excellent bioinformatics skill for differential gene expression analysis. The SKILL.md is extremely comprehensive with clear quick-start code, detailed step-by-step workflow guidance, common analysis patterns, troubleshooting, and visualization examples. The structure is superb: concise overview followed by progressive detail, with proper referencing to external files for API and workflow documentation. Task knowledge is outstanding - provides complete working code for data loading, DESeq2 fitting, statistical testing, result interpretation, and visualization. The skill addresses a genuinely complex bioinformatics task that would require significant tokens and domain expertise for a CLI agent to execute properly, making it highly novel and cost-effective. Description coverage is strong, clearly indicating when to use this skill. Minor room for improvement in novelty score as some Python-savvy users could potentially accomplish this with documentation, but the integrated workflow, troubleshooting guidance, and domain-specific best practices provide substantial value beyond raw API access.

LLM Signals

Description coverage9
Task knowledge10
Structure10
Novelty8

GitHub Signals

6,871
818
49
3
Last commit 1 days ago

Publisher

K-Dense-AI

K-Dense-AI

Skill Author

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K-Dense-AI

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