{"slug":"tooluniverse-rnaseq-deseq2","source_name":"tooluniverse-rnaseq-deseq2","name":"Tooluniverse Rnaseq Deseq2","description":"Production-ready RNA-seq differential expression analysis using PyDESeq2. Performs DESeq2 normalization, dispersion estimation, Wald testing, LFC shrinkage, and result filtering. Handles multi-factor designs, multiple contrasts, batch effects, and integrates with gene enrichment (gseapy) and ToolUniverse annotation tools (UniProt, Ensembl, OpenTargets). Supports CSV/TSV/H5AD input formats and any organism. Use when analyzing RNA-seq count matrices, identifying DEGs, performing differential expre","version":1,"lift":{"pass_rate_delta_pts":13.64,"pass_rate_pct":18.2,"total_cases":22,"passed_cases":4,"tokens_delta_pct":263.9,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-07-26T13:46:57.727254+00:00"},"skill_score":0.1818,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":13.64,"with_pass_pct":18.2,"without_pass_pct":4.5,"tokens_delta_pct":263.9,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":21,"verdict":"mixed","never_hurt":true,"completed_at":"2026-07-26T13:46:57.727254+00:00","run_id":"ec91f01a-5db1-4620-9321-81c730b9297e","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":null,"content_status":"clean","indexable":true},"license":null,"install_count":0,"manifest_hash":"ec2339cbb26298580536f8f4641a397a15b80c5fdd507659042e0c9258309d10","raw_url":"https://app.decimal.ai/s/tooluniverse-rnaseq-deseq2/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/tooluniverse-rnaseq-deseq2"}