NucleoATAC

NucleoATAC infers nucleosome positions and quantitative occupancy from ATAC-seq data to map chromatin organization and nucleosome rotational and translational positioning at base-pair resolution.


Key Features:

  • High-Resolution Mapping: Utilizes a two-dimensional "fingerprint" derived from ATAC-seq fragment lengths and positions to identify nucleosome rotational and translational positions at up to base-pair resolution in species including Saccharomyces cerevisiae, Schizosaccharomyces pombe, and human cells.
  • Quantitative Analysis: Provides quantitative measures of nucleosome occupancy to assess chromatin dynamics and impacts on gene regulation.
  • Chromatin Biology Analyses: Enables analysis of sequence features influencing nucleosome positioning; investigation of promoter chromatin architecture across species; detection of transient changes in nucleosome occupancy and positioning during dynamic cellular responses; and integration of nucleosome occupancy analysis with transcription factor binding.

Scientific Applications:

  • Nucleosome positioning and gene regulation: Maps nucleosome locations to study how nucleosome positioning affects gene regulation using ATAC-seq data.
  • Comparative chromatin architecture: Performs comparative analyses of chromatin architecture across Saccharomyces cerevisiae, Schizosaccharomyces pombe, and human cells.
  • Transcription factor interplay: Examines the interplay between nucleosomes and transcription factors by integrating nucleosome occupancy with transcription factor binding data.
  • Chromatin dynamics: Detects transient changes in nucleosome occupancy and positioning during dynamic cellular responses.

Methodology:

Analyzes ATAC-seq fragment lengths and genomic positions to extract a two-dimensional "fingerprint" of nucleosome-associated patterns, which is interpreted to infer nucleosome rotational and translational positions and to quantify nucleosome occupancy.

Topics

Details

License:
MIT
Programming Languages:
Python
Added:
10/27/2025
Last Updated:
10/27/2025

Operations

Publications

Schep AN, Buenrostro JD, Denny SK, Schwartz K, Sherlock G, Greenleaf WJ. Structured nucleosome fingerprints enable high-resolution mapping of chromatin architecture within regulatory regions. Genome Research. 2015;25(11):1757-1770. doi:10.1101/gr.192294.115. PMID:26314830. PMCID:PMC4617971.

PMID: 26314830
PMCID: PMC4617971
Funding: - National Science Foundation: DGE-114747 - National Institutes of Health: T32HG000044 - NIH: P50HG007735, U19AI057266

Documentation

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