deeptools

1# deepTools: NGS Data Analysis Toolkit
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3## Overview
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5deepTools 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.
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7**Core capabilities:**
8- Convert BAM alignments to normalized coverage tracks (bigWig/bedGraph)
9- Quality control assessment (fingerprint, correlation, coverage)
10- Sample comparison and correlation analysis
11- Heatmap and profile plot generation around genomic features
12- Enrichment analysis and peak region visualization
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14## When to Use This Skill
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16This skill should be used when:
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18- **File conversion**: "Convert BAM to bigWig", "generate coverage tracks", "normalize ChIP-seq data"
19- **Quality control**: "check ChIP quality", "compare replicates", "assess sequencing depth", "QC analysis"
20- **Visualization**: "create heatmap around TSS", "plot ChIP signal", "visualize enrichment", "generate profile plot"
21- **Sample comparison**: "compare treatment vs control", "correlate samples", "PCA analysis"
22- **Analysis workflows**: "analyze ChIP-seq data", "RNA-seq coverage", "ATAC-seq analysis", "complete workflow"
23- **Working with specific file types**: BAM files, bigWig files, BED region files in genomics context
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25## Quick Start
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27For users new to deepTools, start with file validation and common workflows:
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