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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Autores principales:	Anna Danese, Maria L. Richter, Kridsadakorn Chaichoompu, David S. Fischer, Fabian J. Theis, Maria Colomé-Tatché
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/080e8714432f46029536734062f84ff2
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id	oai:doaj.org-article:080e8714432f46029536734062f84ff2
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spelling	oai:doaj.org-article:080e8714432f46029536734062f84ff22021-12-02T15:25:36ZEpiScanpy: integrated single-cell epigenomic analysis10.1038/s41467-021-25131-32041-1723https://doaj.org/article/080e8714432f46029536734062f84ff22021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25131-3https://doaj.org/toc/2041-1723The 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.Anna DaneseMaria L. RichterKridsadakorn ChaichoompuDavid S. FischerFabian J. TheisMaria Colomé-TatchéNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Anna Danese Maria L. Richter Kridsadakorn Chaichoompu David S. Fischer Fabian J. Theis Maria Colomé-Tatché EpiScanpy: integrated single-cell epigenomic analysis
description	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.
format	article
author	Anna Danese Maria L. Richter Kridsadakorn Chaichoompu David S. Fischer Fabian J. Theis Maria Colomé-Tatché
author_facet	Anna Danese Maria L. Richter Kridsadakorn Chaichoompu David S. Fischer Fabian J. Theis Maria Colomé-Tatché
author_sort	Anna Danese
title	EpiScanpy: integrated single-cell epigenomic analysis
title_short	EpiScanpy: integrated single-cell epigenomic analysis
title_full	EpiScanpy: integrated single-cell epigenomic analysis
title_fullStr	EpiScanpy: integrated single-cell epigenomic analysis
title_full_unstemmed	EpiScanpy: integrated single-cell epigenomic analysis
title_sort	episcanpy: integrated single-cell epigenomic analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/080e8714432f46029536734062f84ff2
work_keys_str_mv	AT annadanese episcanpyintegratedsinglecellepigenomicanalysis AT marialrichter episcanpyintegratedsinglecellepigenomicanalysis AT kridsadakornchaichoompu episcanpyintegratedsinglecellepigenomicanalysis AT davidsfischer episcanpyintegratedsinglecellepigenomicanalysis AT fabianjtheis episcanpyintegratedsinglecellepigenomicanalysis AT mariacolometatche episcanpyintegratedsinglecellepigenomicanalysis
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EpiScanpy: integrated single-cell epigenomic analysis

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