Agent skill · Data & Analytics

bio-atac-seq-footprinting

Detect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS. Use when identifying TF occupancy patterns within accessible regions, as TF binding protects DNA from Tn5 cutting.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill footprinting --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/ai-ml/footprinting/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# TF Footprinting ## TOBIAS Workflow ```bash # 1. Correct Tn5 bias tobias ATACorrect \ --bam sample.bam \ --genome genome.fa \ --peaks peaks.bed \ --outdir corrected/ \ --cores 8 # 2. Calculate footprint scores tobias FootprintScores \ --signal corrected/sample_corrected.bw \ --regions peaks.bed \ --output footprints.bw \ --cores 8 # 3. Bind TF motifs tobias BINDetect \ --motifs JASPAR_motifs.pfm \ --signals footprints.bw \ --genome genome.fa \ --peaks peaks.bed \ --outdir bindetect_output/ \ --cores 8 ``` ## TOBIAS Differential Footprinting ```bash # Compare conditions tobias BINDetect \ --motifs JASPAR_motifs.pfm \ --signals condition1.bw condition2.bw \ --genome genome.fa \ --peaks consensus_peaks.bed \ --outdir differential_footprints/ \ --cond_names condition1 condition2 \ --cores 8 # Output includes: # - Differential binding scores # - Per-TF statistics # - Bound/unbound site predictions ``` ## Download JASPAR Motifs ```bash # Download JASPAR motifs wget https://jaspar.genereg.net/download/data/2022/CORE/JASPAR2022_CORE_vertebrates_non-redundant_pfms_jaspar.txt mv JASPAR2022_CORE_vertebrates_non-redundant_pfms_jaspar.txt JASPAR_motifs.pfm ``` ## Prepare Input Files ```bash #

What's inside
Steps it walks through
  1. TOBIAS Workflow
  2. TOBIAS Differential Footprinting
  3. Download JASPAR Motifs
  4. Prepare Input Files
  5. HINT-ATAC Alternative
  6. PIQ Footprinting
  7. Aggregate Footprint Plots
  8. Python: Custom Footprint Analysis
  9. Scan for Motifs
  10. Interpret Footprint Depth
  11. Quality Considerations
  12. Differential TF Activity
  13. TOBIAS Output Files
  14. Related Skills
Ships with 1 file
  • metadata.json
Commands it runs
tobias ATACorrect \
tobias FootprintScores \
tobias BINDetect \
Compare conditions
Output includes:
Download JASPAR motifs
wget https://jaspar.genereg.net/download/data/2022/CORE/JASPAR2022_CORE_vertebrates_non-redundant_pfms_jaspar.txt
mv JASPAR2022_CORE_vertebrates_non-redundant_pfms_jaspar.txt JASPAR_motifs.pfm
Ensure BAM is sorted and indexed
samtools sort -@ 8 sample.bam -o sample.sorted.bam
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About this skill
What does the bio-atac-seq-footprinting skill do?

Detect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS. Use when identifying TF occupancy patterns within accessible regions, as TF binding protects DNA from Tn5 cutting.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill footprinting --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going