bio-applied-coverage-tracks

SKILLWorkflowCommunity
v0.0.0Pavel-KravchenkoUnknownAktualisiert vor 1 Mon.Quelle →

Generate normalized bigWig coverage tracks from BAM with deepTools bamCoverage/bamCompare (RPKM/CPM/RPGC), summarize with multiBamSummary, and plot TSS/region signal with computeMatrix + plotHeatmap/plotProfile; pyBigWig for programmatic access. Use when normalizing BAM to bigWig, computing ChIP/inp

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
4Repo-Sterne
1Clients
1Formate
vor 1 Mon.Letzte Aktualisierung
Skill
AutorPavel-Kravchenko
Version0.0.0
LizenzUnknown
KategorieWorkflow
Formateskill.md
PromptNicht veröffentlicht
Kompatibilität
Claude✓ Unterstützt
Cursor—
Copilot—
ChatGPT—
Gemini—
Über

Generate normalized bigWig coverage tracks from BAM with deepTools bamCoverage/bamCompare (RPKM/CPM/RPGC), summarize with multiBamSummary, and plot TSS/region signal with computeMatrix + plotHeatmap/plotProfile; pyBigWig for programmatic access. Use when normalizing BAM to bigWig, computing ChIP/input log2 ratio tracks, making TSS metagene heatmaps, or querying bigWig values in Python.

Schlagwörter
skillclaude