deeptools
This skill provides a comprehensive interface to deepTools for NGS data analysis. It covers BAM to bigWig conversion, quality control metrics, sample correlation, and visualization workflows for ChIP-seq, RNA-seq, and ATAC-seq data. The documentation includes practical examples and genome size references.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-deeptools
Repository
Skill path: scientific-skills/deeptools
This skill provides a comprehensive interface to deepTools for NGS data analysis. It covers BAM to bigWig conversion, quality control metrics, sample correlation, and visualization workflows for ChIP-seq, RNA-seq, and ATAC-seq data. The documentation includes practical examples and genome size references.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install deeptools into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding deeptools to shared team environments
- Use deeptools for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.