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.