Nature Communications (Sep 2021)

EpiScanpy: integrated single-cell epigenomic analysis

  • Anna Danese,
  • Maria L. Richter,
  • Kridsadakorn Chaichoompu,
  • David S. Fischer,
  • Fabian J. Theis,
  • Maria Colomé-Tatché

DOI
https://doi.org/10.1038/s41467-021-25131-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 8

Abstract

Read online

The authors present epiScanpy: a computational framework for the analysis of single-cell epigenomic data, both ATAC-seq and DNA methylation data, with examples for clustering, cell type identification, trajectory learning and atlas integration - and show its performance in distinguishing cell types.