metagene

metagene generates metagene plots that summarize ChIP-Seq protein occupancy patterns across selected groups of genes or genomic features for comparative analysis.


Key Features:

  • Metagene Plots: Aggregates ChIP-Seq enrichment signals into metagene plots to summarize general protein occupancy patterns across genes or genomic features.
  • BAM-based Resolution: Uses BAM files to increase the resolution of analyses for more detailed and accurate comparisons.
  • Comparative Analysis: Supports comparison of multiple combinations of BAM file groups or genomic regions within a single analysis framework.
  • Statistical Validation (Bootstrapping): Employs bootstrapping techniques to statistically compare groups and identify regions with significantly different enrichment profiles.
  • similaRpeak Integration: Provides functionality to identify and quantify similarities or dissimilarities between large numbers of ChIP-Seq profiles via the similaRpeak package.
  • R Package Core: Implements core functionality as an R package for generating metagene plots and performing comparative analyses of ChIP-Seq data.

Scientific Applications:

  • Differential Occupancy Analysis: Investigates regulatory factor occupancy at noncoding regions such as promoters and enhancers in relation to transcriptional activity.
  • Mechanistic Studies in GM12878 B-lymphocytes: Applied to GM12878 B-lymphocytes to distinguish gradient effects, where occupancy correlates with transcription, from threshold effects, where occupancy plateaus before maximal transcription.

Methodology:

Aggregates ChIP-Seq enrichment signals into metagene plots, uses BAM files for increased resolution, compares multiple BAM file groups or genomic regions, applies bootstrapping for statistical comparison, and leverages the similaRpeak package to quantify similarities between ChIP-Seq profiles; implemented as an R package.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/10/2018

Operations

Publications

Joly Beauparlant C, Lamaze FC, Deschênes A, Samb R, Lemaçon A, Belleau P, Bilodeau S, Droit A. metagene Profiles Analyses Reveal Regulatory Element’s Factor-Specific Recruitment Patterns. PLOS Computational Biology. 2016;12(8):e1004751. doi:10.1371/journal.pcbi.1004751. PMID:27538250. PMCID:PMC4990179.

Funding: - Natural Sciences and Engineering Research Council of Canada: 436266-2013 - Institute of Nutrition, Metabolism and Diabetes: IC513823

Documentation

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