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.