What problem does it solve?
This Skill provides comprehensive analysis and visualization capabilities for Next-Generation Sequencing (NGS) data, enabling users to perform quality control, normalization, sample comparison, and generate publication-quality visualizations.
Core Features & Use Cases
- Data Conversion: Convert BAM alignments to bigWig or bedGraph files for visualization.
- Quality Control: Assess sequencing depth, perform PCA, and generate fingerprints for quality assessment.
- Visualization: Create heatmaps, profiles, and enrichment plots for genomic features.
- Sample Comparison: Compare samples and perform correlation analysis.
- Use Case: Imagine you have ChIP-seq data for multiple samples. Use this Skill to normalize the data, perform quality control, visualize the signal, and compare samples to identify enriched regions.
Quick Start
Use the deepTools skill to generate a heatmap around the TSS for the ChIP-seq data in 'chip-seq_data.bam'.