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.

Documentation

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