EpiScanpy: integrated single-cell epigenomic analysis

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.

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Auteurs principaux: Anna Danese, Maria L. Richter, Kridsadakorn Chaichoompu, David S. Fischer, Fabian J. Theis, Maria Colomé-Tatché
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/080e8714432f46029536734062f84ff2
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