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

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