compEpiTools

compEpiTools performs integrative analysis and visualization of epigenomic datasets, including DNA methylomes, histone marks, transcription factor ChIP-seq, RNA-seq, and DNase-seq, to characterize chromatin state, transcriptional regulation, and DNA methylation contexts across genomic regions and samples.


Key Features:

  • Integration of diverse epigenetic data types: Integrates high-resolution DNA methylomes with histone marks, transcription factor binding sites (ChIP-seq), RNA-seq, and DNase-seq, and supports whole-genome bisulfite sequencing and targeted methylation data across CpG and non-CpG contexts.
  • Scoring and regional analysis: Provides methods to score epigenomic signals in regions of interest and to identify genomic features such as enhancers, long non-coding RNAs (lncRNAs), and RNA polymerase II stalling/elongation dynamics.
  • Annotation and ontology association: Annotates genomic regions and associates genes with non-redundant Gene Ontology terms for downstream functional interpretation.
  • Visualization and track integration: Produces flexible visualizations, including heatmaps, that combine annotation tracks with continuous or categorical data tracks to integrate multiple data types.

Scientific Applications:

  • Gene regulation: Linking epigenetic marks and transcriptional output to investigate regulatory mechanisms of gene expression.
  • Chromatin dynamics: Characterizing chromatin state changes and their relationships to transcription across samples and genomic regions.
  • Functional implications of epigenetic modifications: Assessing how DNA methylation and histone modifications influence genomic function.
  • Enhancer activity and non-coding RNA studies: Investigating enhancer activation, transcriptional regulation, and roles of long non-coding RNAs.

Methodology:

Integrates outputs from methylPipe with epigenomic datasets derived from high-throughput sequencing (whole-genome bisulfite sequencing, ChIP-seq, RNA-seq, DNase-seq) across multiple samples and genomic regions.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/11/2019

Operations

Publications

Kishore K, de Pretis S, Lister R, Morelli MJ, Bianchi V, Amati B, Ecker JR, Pelizzola M. methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data. BMC Bioinformatics. 2015;16(1). doi:10.1186/s12859-015-0742-6. PMID:26415965. PMCID:PMC4587815.

PMID: 26415965
PMCID: PMC4587815
Funding: - Seventh Framework Programme: 305626

Documentation

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