Nature Communications (Mar 2021)

Deep learning-based enhancement of epigenomics data with AtacWorks

  • Avantika Lal,
  • Zachary D. Chiang,
  • Nikolai Yakovenko,
  • Fabiana M. Duarte,
  • Johnny Israeli,
  • Jason D. Buenrostro

DOI
https://doi.org/10.1038/s41467-021-21765-5
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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ATAC-seq measures chromatin accessibility as a proxy for the activity of DNA regulatory regions across the genome. Here the authors present AtacWorks, a deep learning tool to denoise and identify accessible chromatin regions from low cell count, low-coverage, or low-quality ATAC-seq data.