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deeptools-ngs-analysis

Process and visualize NGS data with deepTools for BAM to bigWig conversion and heatmaps.

298|27|Updated Feb 18, 2026
Search Tags:#data analysis#bioinformatics#visualization#genomics#ngs#deeptools
One-click install
npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill deeptools-ngs-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deeptools-ngs-analysis
Source: https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/genomics-bioinformatics/deeptools-ngs-analysis
Command: npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill deeptools-ngs-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires deeptools, samtools, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a powerful command-line toolkit for processing and visualizing high-throughput sequencing data, simplifying complex NGS analysis workflows.

Core Features & Use Cases

  • Coverage Tracks: Convert BAM alignments to normalized bigWig coverage tracks.
  • Quality Control: Assess sample quality with correlation, PCA, and fingerprint plots.
  • Visualization: Generate publication-quality heatmaps and profile plots around genomic features.
  • Use Case: Analyze ChIP-seq data by converting BAM files to normalized bigWig tracks, generating heatmaps around TSS, and assessing enrichment strength.

Quick Start

Convert the BAM file 'sample.bam' to a normalized bigWig file named 'sample.bw' using RPGC normalization.

Frequently Asked Questions about deeptools-ngs-analysis

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 ChIP-seq analysis?▼

You can convert BAM files to normalized bigWig coverage tracks using deepTools. This Skill handles the command-line processing required to transform high-throughput sequencing alignments into normalized tracks for visualization.

What is the best way to generate heatmaps and profile plots around genomic features from NGS data?▼

The best way to generate heatmaps and profile plots around genomic features is using deepTools visualization functions. This Skill processes your high-throughput sequencing data to create publication-quality plots directly.

Can I assess sample quality with correlation, PCA, and fingerprint plots for RNA-seq and ATAC-seq data?▼

Yes, you can assess sample quality with correlation, PCA, and fingerprint plots for RNA-seq and ATAC-seq data. This Skill utilizes deepTools command-line functions to evaluate high-throughput sequencing samples.

Do I need samtools and deeptools installed to analyze NGS data with this Skill?▼

Yes, you need both deeptools and samtools installed to analyze NGS data with this Skill. These dependencies are required for processing high-throughput sequencing alignments and generating visualizations.

Does deepTools support RPGC normalization for high-throughput sequencing BAM files?▼

Yes, deepTools supports RPGC normalization for high-throughput sequencing BAM files. This Skill allows you to convert alignments into normalized bigWig tracks using this specific normalization method.

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