bio-applied-differential-binding

SKILLWorkflowcommunity
v0.0.0Pavel-KravchenkoUnknownUpdated 3mo agoSource →

Find ChIP-seq/ATAC-seq peaks that gain or lose signal between conditions using DiffBind (dba.count/dba.normalize/dba.analyze with DESeq2 or edgeR) on a consensus peak set, then annotate hits to genes/promoters with ChIPseeker annotatePeak. Use when comparing TF binding or histone marks across condit

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
4Repo stars
1Clients
1Formats
3mo agoLast update
Skill
AuthorPavel-Kravchenko
Version0.0.0
LicenseUnknown
CategoryWorkflow
Formatsskill.md
PromptNot published
Compatibility
Claude✓ Supported
Cursor—
Copilot—
ChatGPT—
Gemini—
About

Find ChIP-seq/ATAC-seq peaks that gain or lose signal between conditions using DiffBind (dba.count/dba.normalize/dba.analyze with DESeq2 or edgeR) on a consensus peak set, then annotate hits to genes/promoters with ChIPseeker annotatePeak. Use when comparing TF binding or histone marks across conditions, building volcano/MA plots from dba.report() output, or annotating differential peaks to neares

Keywords
skillclaude

No dependency coverage

This entry publishes no npm package, so Forge has no dependency tree for it. That is a gap in coverage — not a statement that it has no dependencies.