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.

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