Nature Communications (Feb 2020)

Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling

  • Mariano I. Gabitto,
  • Anders Rasmussen,
  • Orly Wapinski,
  • Kathryn Allaway,
  • Nicholas Carriero,
  • Gordon J. Fishell,
  • Richard Bonneau

DOI
https://doi.org/10.1038/s41467-020-14497-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 10

Abstract

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Most currently available statistical tools for the analysis of ATAC-seq data were repurposed from tools developed for other functional genomics data (e.g. ChIP-seq). Here, Gabitto et al develop ChromA, a Bayesian statistical approach for the analysis of both bulk and single-cell ATAC-seq data.