Individual skill
tooluniverse-rnaseq-deseq2
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 expression with statistical rigor, or answering questions about gene expression changes.
skills/tooluniverse-rnaseq-deseq2/SKILL.md
Source commit b1f9b6e3306f8d870e23b2023057bf730090036f
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- Last checked
- Nov 9, 2026
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- 3,106
- Repository last updated
- Jul 21, 2026
- License
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.env.templateasset · 499 bytesQUICK_START.mddoc · 4,924 bytesREADME.mddoc · 4,385 bytesREDESIGN_SUMMARY.mddoc · 8,785 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesSKILL.mdcore · 17,830 bytesreferences/bixbench_examples.mddoc · 12,054 bytesreferences/data_loading.mddoc · 8,221 bytesreferences/dispersion_analysis.mddoc · 9,942 bytesreferences/enrichment_analysis.mddoc · 10,088 bytesreferences/output_formatting.mddoc · 6,474 bytesreferences/pydeseq2_workflow.mddoc · 9,142 bytesreferences/question_parsing.mddoc · 4,189 bytesreferences/result_filtering.mddoc · 9,564 bytesreferences/troubleshooting.mddoc · 9,448 bytesscripts/convert_rds_to_csv.pyruns · 6,998 bytesscripts/format_deseq2_output.pyruns · 8,961 bytesscripts/load_count_matrix.pyruns · 7,605 bytestest_skill.pyruns · 50,091 bytes
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