Individual skill
deeptools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
cli-tool/components/skills/scientific/deeptools/SKILL.md
Source commit ad81bf053f80b626801decf425f501ba49983d98
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 33,186
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- anthropic Repository topic
- anthropic-claude Repository topic
- claude Repository topic
- claude-code Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code-plugins Repository topic
- cli Repository topic
- mcp Repository topic
- registry Repository topic
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesSKILL.mdcore · 17,924 bytesassets/quick_reference.mddoc · 1,520 bytesreferences/effective_genome_sizes.mddoc · 3,677 bytesreferences/normalization_methods.mddoc · 11,082 bytesreferences/tools_reference.mddoc · 18,891 bytesreferences/workflows.mddoc · 10,963 bytesscripts/validate_files.pyruns · 6,039 bytesscripts/workflow_generator.pyruns · 14,130 bytes
Read excerpt
# deepTools: NGS Data Analysis Toolkit
## Overview
deepTools is a comprehensive suite of Python command-line tools designed for processing and analyzing high-throughput sequencing data. Use deepTools to perform quality control, normalize data, compare samples, and generate publication-quality visualizations for ChIP-seq, RNA-seq, ATAC-seq, MNase-seq, and other NGS experiments.
**Core capabilities:**
- Convert BAM alignments to normalized coverage tracks (bigWig/bedGraph)
- Quality control assessment (fingerprint, correlation, coverage)
- Sample comparison and correlation analysis
- Heatmap and profile plot generation around genomic features
- Enrichment analysis and peak region visualization
## When to Use This Skill