DChIPRep
DChIPRep performs integrative analysis of histone modification ChIP-seq data to assess differential enrichment of histone modifications around genomic elements such as transcription start sites (TSS) for genome-wide comparison of epigenetic states.
Key Features:
- Integrative ChIP-seq analysis: Compares enrichment profiles from histone modification ChIP-seq data across genomic regions to characterize chromatin modification patterns.
- Genome-wide profiling around genomic elements: Analyzes enrichment profiles specifically around features such as transcription start sites (TSS) to detect positional changes in modification patterns.
- Biological replicate integration: Incorporates information from biological replicates to improve statistical confidence in differential enrichment assessments.
- Chromatin input data utilization: Uses chromatin input data to account for background signal and refine differential enrichment estimates.
- Statistical assessment framework: Provides a rigorous statistical approach to evaluate differences in chromatin modification profiles between conditions.
Scientific Applications:
- Epigenetic state characterization: Enables genome-wide studies of histone modification distributions to investigate epigenetic states.
- Gene regulation studies: Supports analyses linking histone modification changes around TSS and other elements to transcriptional activity.
- Comparative condition or cell-type analyses: Detects differential epigenetic states across experimental conditions or cell types.
- High-confidence replicated studies: Facilitates analyses that require integration of biological replicates to produce robust differential enrichment results.
Methodology:
DChIPRep applies a statistical framework that integrates biological replicate information and chromatin input data to assess differential enrichment of histone modifications from ChIP-seq around specified genomic elements (e.g., TSS).
Topics
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 1/13/2019
Operations
Publications
Chabbert CD, Steinmetz LM, Klaus B. <i>DChIPRep</i> , an R/Bioconductor package for differential enrichment analysis in chromatin studies. PeerJ. 2016;4:e1981. doi:10.7717/peerj.1981. PMID:27168989. PMCID:PMC4860309.