Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

scATAC-Seq yields data that is extremely sparse. Here, the authors present a computationally efficient imputation method called scOpen that improves the downstream analyses of scATAC-Seq data and use it to identify transcriptional regulators of kidney fibrosis.

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Autores principales: Zhijian Li, Christoph Kuppe, Susanne Ziegler, Mingbo Cheng, Nazanin Kabgani, Sylvia Menzel, Martin Zenke, Rafael Kramann, Ivan G. Costa
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f489d02ade954c108604ac36561468ad
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spelling oai:doaj.org-article:f489d02ade954c108604ac36561468ad2021-11-08T11:09:09ZChromatin-accessibility estimation from single-cell ATAC-seq data with scOpen10.1038/s41467-021-26530-22041-1723https://doaj.org/article/f489d02ade954c108604ac36561468ad2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26530-2https://doaj.org/toc/2041-1723scATAC-Seq yields data that is extremely sparse. Here, the authors present a computationally efficient imputation method called scOpen that improves the downstream analyses of scATAC-Seq data and use it to identify transcriptional regulators of kidney fibrosis.Zhijian LiChristoph KuppeSusanne ZieglerMingbo ChengNazanin KabganiSylvia MenzelMartin ZenkeRafael KramannIvan G. CostaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Zhijian Li
Christoph Kuppe
Susanne Ziegler
Mingbo Cheng
Nazanin Kabgani
Sylvia Menzel
Martin Zenke
Rafael Kramann
Ivan G. Costa
Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen
description scATAC-Seq yields data that is extremely sparse. Here, the authors present a computationally efficient imputation method called scOpen that improves the downstream analyses of scATAC-Seq data and use it to identify transcriptional regulators of kidney fibrosis.
format article
author Zhijian Li
Christoph Kuppe
Susanne Ziegler
Mingbo Cheng
Nazanin Kabgani
Sylvia Menzel
Martin Zenke
Rafael Kramann
Ivan G. Costa
author_facet Zhijian Li
Christoph Kuppe
Susanne Ziegler
Mingbo Cheng
Nazanin Kabgani
Sylvia Menzel
Martin Zenke
Rafael Kramann
Ivan G. Costa
author_sort Zhijian Li
title Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen
title_short Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen
title_full Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen
title_fullStr Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen
title_full_unstemmed Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen
title_sort chromatin-accessibility estimation from single-cell atac-seq data with scopen
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f489d02ade954c108604ac36561468ad
work_keys_str_mv AT zhijianli chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT christophkuppe chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT susanneziegler chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT mingbocheng chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT nazaninkabgani chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT sylviamenzel chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT martinzenke chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT rafaelkramann chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
AT ivangcosta chromatinaccessibilityestimationfromsinglecellatacseqdatawithscopen
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