Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing

Several existing algorithms predict the methylation of DNA using Nanopore sequencing signals, but it is unclear how they compare in performance. Here, the authors benchmark the performance of several such tools, and propose METEORE, a consensus tool that improves prediction accuracy.

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Auteurs principaux:	Zaka Wing-Sze Yuen, Akanksha Srivastava, Runa Daniel, Dennis McNevin, Cameron Jack, Eduardo Eyras
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2021
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/08b6b5b4d12c45159aef5d1595b46fac
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id	oai:doaj.org-article:08b6b5b4d12c45159aef5d1595b46fac
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spelling	oai:doaj.org-article:08b6b5b4d12c45159aef5d1595b46fac2021-12-02T14:58:23ZSystematic benchmarking of tools for CpG methylation detection from nanopore sequencing10.1038/s41467-021-23778-62041-1723https://doaj.org/article/08b6b5b4d12c45159aef5d1595b46fac2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23778-6https://doaj.org/toc/2041-1723Several existing algorithms predict the methylation of DNA using Nanopore sequencing signals, but it is unclear how they compare in performance. Here, the authors benchmark the performance of several such tools, and propose METEORE, a consensus tool that improves prediction accuracy.Zaka Wing-Sze YuenAkanksha SrivastavaRuna DanielDennis McNevinCameron JackEduardo EyrasNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zaka Wing-Sze Yuen Akanksha Srivastava Runa Daniel Dennis McNevin Cameron Jack Eduardo Eyras Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing
description	Several existing algorithms predict the methylation of DNA using Nanopore sequencing signals, but it is unclear how they compare in performance. Here, the authors benchmark the performance of several such tools, and propose METEORE, a consensus tool that improves prediction accuracy.
format	article
author	Zaka Wing-Sze Yuen Akanksha Srivastava Runa Daniel Dennis McNevin Cameron Jack Eduardo Eyras
author_facet	Zaka Wing-Sze Yuen Akanksha Srivastava Runa Daniel Dennis McNevin Cameron Jack Eduardo Eyras
author_sort	Zaka Wing-Sze Yuen
title	Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing
title_short	Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing
title_full	Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing
title_fullStr	Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing
title_full_unstemmed	Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing
title_sort	systematic benchmarking of tools for cpg methylation detection from nanopore sequencing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/08b6b5b4d12c45159aef5d1595b46fac
work_keys_str_mv	AT zakawingszeyuen systematicbenchmarkingoftoolsforcpgmethylationdetectionfromnanoporesequencing AT akankshasrivastava systematicbenchmarkingoftoolsforcpgmethylationdetectionfromnanoporesequencing AT runadaniel systematicbenchmarkingoftoolsforcpgmethylationdetectionfromnanoporesequencing AT dennismcnevin systematicbenchmarkingoftoolsforcpgmethylationdetectionfromnanoporesequencing AT cameronjack systematicbenchmarkingoftoolsforcpgmethylationdetectionfromnanoporesequencing AT eduardoeyras systematicbenchmarkingoftoolsforcpgmethylationdetectionfromnanoporesequencing
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Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing

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