ChIPdig
ChIPdig analyzes multi-sample Chromatin Immunoprecipitation sequencing (ChIP-seq) datasets to identify, annotate, and compare genomic enrichment of transcription factor binding and histone modifications.
Key Features:
- Multi-Sample Analysis: Processes multiple ChIP-seq datasets simultaneously for comparative analyses across conditions or experimental designs.
- Genome-wide Differential Enrichment Analysis: Performs genome-wide differential enrichment analysis to identify differences in signal between samples.
- Read Mapping: Aligns sequencing reads to a reference genome.
- Peak Calling: Identifies regions of significant enrichment corresponding to potential protein-DNA interactions.
- Annotation of Regions: Annotates peaks to genomic features including transcription start and termination sites, exons, introns, and untranslated regions (UTRs).
- Visualization Tools: Generates heatmaps and metaplots to visualize coverage and enrichment patterns across genomic regions.
Scientific Applications:
- Epigenetic Research: Mapping transcription factor binding sites and histone modifications to study chromatin regulation.
- Regulatory Mechanism Analysis: Supporting studies that elucidate regulatory mechanisms underlying gene expression changes across different biological conditions or treatments.
- Large-scale ChIP-seq Projects: Enabling processing and comparative analysis of datasets from large-scale projects such as modENCODE.
Methodology:
Performs read mapping to a reference genome, peak calling to detect enriched regions, annotation of peaks to genomic features (transcription start and termination sites, exons, introns, UTRs), generation of heatmaps and metaplots, and genome-wide differential enrichment analysis across multiple samples.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- R
- Added:
- 11/14/2019
- Last Updated:
- 12/11/2020
Operations
Publications
Esse R. ChIPdig: a comprehensive user-friendly tool for mining multi-sample ChIP-seq data. F1000Research. 2019;8:1295. doi:10.12688/f1000research.20027.1.
Funding: - National Institutes of Health: GM107056