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atac-seq-differential-accessibility - Analyze differential chromatin accessibility across conditions

Identifies chromatin regions with differential ATAC-seq accessibility using DiffBind, csaw, DESeq2, or edgeR.

Tags

Updated: 2026-10-07

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Build region count matrices
  • Choose peak or window workflows
  • Normalize ATAC-seq counts
  • Fit differential accessibility models
  • Adjust batch and hidden variance
  • Interpret log2FC and FDR

Inputs

  • BAM files
  • Peak files
  • Peak-count matrices
  • Sample metadata
  • Experimental conditions
  • Replicate information
  • Genome information
  • Normalization strategy

Outputs

  • Differential accessibility regions
  • Normalized count matrices
  • Statistical test results
  • Log2 fold changes
  • FDR values
  • Quality-control plots

Requirements

  • R environment
  • DiffBind 3.12 or later
  • DESeq2 1.42 or later
  • edgeR 4.0 or later
  • csaw 1.36 or later
  • limma 3.58 or later
  • GenomicRanges 1.54 or later
  • sva 3.50 or later
  • RUVSeq 1.36 or later

Source

  • Spec: SKILL.md
ATAC-seq
chromatin accessibility
differential analysis
DiffBind
csaw
DESeq2
edgeR
epigenomics
Build region count matrices
Choose peak or window workflows
Normalize ATAC-seq counts
Fit differential accessibility models
BAM files
Peak files
Peak-count matrices
Differential accessibility regions
Normalized count matrices
Statistical test results