ChIPexoQual
ChIPexoQual evaluates quality metrics of ChIP-exo and ChIP-nexus sequencing data to assess data integrity and reliability for high-resolution transcription factor binding analysis.
Key Features:
- Strand Imbalance Analysis: Quantifies strand-specific signal imbalance resulting from exonuclease digestion patterns in ChIP-exo and ChIP-nexus datasets.
- Library Complexity Assessment: Evaluates duplication structure and library complexity to detect amplification artifacts and sequencing redundancy.
- Signal Enrichment Evaluation: Measures enrichment patterns across genomic regions with varying coverage to assess binding signal strength.
- Quality Metric Visualization: Generates diagnostic visualizations and summary statistics for systematic evaluation of ChIP-exo and ChIP-nexus data quality.
- Benchmarking Framework: Provides quality-control metrics validated using public ChIP-exo/nexus datasets and experimental datasets from Escherichia coli ChIP-exo studies.
Scientific Applications:
- ChIP-exo Data Quality Assessment: Evaluates sequencing and enrichment quality in ChIP-exo experiments before downstream analysis.
- ChIP-nexus Data Validation: Assesses experimental reliability and protocol performance in ChIP-nexus datasets.
- Transcription Factor Binding Studies: Ensures data quality for accurate inference of transcription factor binding sites at near–single-nucleotide resolution.
Methodology:
ChIPexoQual computes strand imbalance, library complexity, duplication structure, and genomic signal enrichment metrics from ChIP-exo and ChIP-nexus sequencing datasets and summarizes these properties using statistical measures and diagnostic visualizations.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/8/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Welch R, Chung D, Grass J, Landick R, Keles S. Data exploration, quality control and statistical analysis of ChIP-exo/nexus experiments. Nucleic Acids Res. 2017 Sep 6;45(15):e145. doi:10.1093/nar/gkx594.