ATACgraph
ATACgraph analyzes ATAC-seq data to profile chromatin accessibility and quantify differential accessibility for studies of gene regulation and chromatin dynamics.
Key Features:
- Profiling Accessible Chromatin Regions: Profiles nucleosome-free regions (NFRs) and nucleosome-occupied areas to map chromatin accessibility.
- Differential Accessibility Analysis: Identifies differentially accessible regions between ATAC-seq datasets to detect changes in chromatin structure.
- Cross-genome Applicability: Applies to ATAC-seq data from any genome without built-in species restrictions.
- Peak Quantification from callPeak Outputs: Computes peak abundances between samples using peak BED and BigWig files generated by the callPeak module.
Scientific Applications:
- Gene Regulation: Detects accessibility changes at regulatory elements relevant to transcriptional regulation.
- Epigenetic Analysis: Enables assessment of chromatin-based epigenetic modifications through accessibility profiling.
- Chromatin Dynamics in Cellular Contexts and Disease Models: Compares chromatin accessibility across cell types or disease states to study chromatin dynamics.
Methodology:
Uses peak BED and BigWig files generated by the callPeak module to compute peak abundances between samples.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, workflow
- Programming Languages:
- Python
- Added:
- 3/19/2021
- Last Updated:
- 4/11/2021
Operations
Publications
Lu RJ, Liu Y, Huang CW, Yen M, Lin C, Chen P. ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq. Frontiers in Genetics. 2021;11. doi:10.3389/fgene.2020.618478. PMID:33584814. PMCID:PMC7874078.
PMID: 33584814
PMCID: PMC7874078
Funding: - Academia Sinica: 106-2311-B-001-035-MY3, 106-2633-B-001-001
Downloads
- Container filehttps://hub.docker.com/r/lsbnb/galaxy_atacgraph