deeptools

Convert BAM files to bigWig and generate genomic heatmaps.

8|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/hxk622/TokenDance --skill deeptools-hxk622
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deeptools
Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/scientific/bioinformatics/deeptools
Command: npx skills add https://github.com/hxk622/TokenDance --skill deeptools-hxk622

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies complex Next-Generation Sequencing (NGS) data analysis, enabling researchers to quickly process, visualize, and interpret genomic data from various experiments like ChIP-seq, RNA-seq, and ATAC-seq.

Core Features & Use Cases

  • Data Conversion: Convert BAM alignment files to normalized bigWig coverage tracks.
  • Quality Control: Perform essential QC checks like sample correlation, PCA, and fingerprint analysis.
  • Visualization: Generate publication-quality heatmaps and profile plots around genomic features (e.g., TSS, peaks).
  • Use Case: A biologist needs to visualize ChIP-seq signal enrichment around gene transcription start sites (TSS) across multiple samples to understand differential gene regulation. This Skill can generate the necessary coverage tracks, compute a matrix of signal values, and produce a heatmap and profile plot for clear interpretation.

Quick Start

Use the deeptools skill to generate a heatmap of ChIP-seq signal around TSS for your bigWig files and gene annotations.

Frequently Asked Questions about deeptools

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert BAM files to normalized bigWig coverage tracks for RNA-seq visualization?

To convert BAM files to bigWig coverage tracks, this Skill processes Next-Generation Sequencing alignment data and generates normalized bigWig files suitable for downstream genomic visualization and sample comparison.

How do I generate a heatmap of ChIP-seq signal around transcription start sites?

To generate a heatmap of ChIP-seq signal around transcription start sites, this Skill computes a matrix of signal values from bigWig files and gene annotations, producing publication-quality heatmaps and profile plots for clear interpretation.

What quality control metrics can I compute for NGS data analysis?

For NGS data quality control, you can compute sample correlation, perform PCA, and conduct fingerprint analysis to assess the similarity and reliability of your sequencing samples before proceeding with visualization.

Can I use this to analyze ATAC-seq and RNA-seq experiments together?

Yes, you can analyze ATAC-seq and RNA-seq experiments together, as the Skill supports ChIP-seq, RNA-seq, and ATAC-seq experiments by offering tools for normalization, sample comparison, and genomic feature visualization.

Do I need to install deepTools to visualize genomic features using this Skill?

Yes, you need deepTools installed in your environment to run this Skill. It requires deepTools installation and specific input files like BAM, bigWig, and BED/GTF to process and visualize genomic features properly.