Deep learning-based enhancement of epigenomics data with AtacWorks

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.

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Autores principales:	Avantika Lal, Zachary D. Chiang, Nikolai Yakovenko, Fabiana M. Duarte, Johnny Israeli, Jason D. Buenrostro
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f55c2ff4dc79402899937bfbce0e742c
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spelling	oai:doaj.org-article:f55c2ff4dc79402899937bfbce0e742c2021-12-02T13:32:50ZDeep learning-based enhancement of epigenomics data with AtacWorks10.1038/s41467-021-21765-52041-1723https://doaj.org/article/f55c2ff4dc79402899937bfbce0e742c2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21765-5https://doaj.org/toc/2041-1723ATAC-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.Avantika LalZachary D. ChiangNikolai YakovenkoFabiana M. DuarteJohnny IsraeliJason D. BuenrostroNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Avantika Lal Zachary D. Chiang Nikolai Yakovenko Fabiana M. Duarte Johnny Israeli Jason D. Buenrostro Deep learning-based enhancement of epigenomics data with AtacWorks
description	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.
format	article
author	Avantika Lal Zachary D. Chiang Nikolai Yakovenko Fabiana M. Duarte Johnny Israeli Jason D. Buenrostro
author_facet	Avantika Lal Zachary D. Chiang Nikolai Yakovenko Fabiana M. Duarte Johnny Israeli Jason D. Buenrostro
author_sort	Avantika Lal
title	Deep learning-based enhancement of epigenomics data with AtacWorks
title_short	Deep learning-based enhancement of epigenomics data with AtacWorks
title_full	Deep learning-based enhancement of epigenomics data with AtacWorks
title_fullStr	Deep learning-based enhancement of epigenomics data with AtacWorks
title_full_unstemmed	Deep learning-based enhancement of epigenomics data with AtacWorks
title_sort	deep learning-based enhancement of epigenomics data with atacworks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f55c2ff4dc79402899937bfbce0e742c
work_keys_str_mv	AT avantikalal deeplearningbasedenhancementofepigenomicsdatawithatacworks AT zacharydchiang deeplearningbasedenhancementofepigenomicsdatawithatacworks AT nikolaiyakovenko deeplearningbasedenhancementofepigenomicsdatawithatacworks AT fabianamduarte deeplearningbasedenhancementofepigenomicsdatawithatacworks AT johnnyisraeli deeplearningbasedenhancementofepigenomicsdatawithatacworks AT jasondbuenrostro deeplearningbasedenhancementofepigenomicsdatawithatacworks
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Deep learning-based enhancement of epigenomics data with AtacWorks

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