Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures

Nanopore sequencing allows users to identify nucleotide sequence from ionic currents. Here, the authors use deep learning to facilitate the de novo identification of modified nucleotides, particularly methylated cytosine and guanine, from the measured ionic currents without the need for controls.

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Bibliographic Details
Main Authors:	Hongxu Ding, Ioannis Anastopoulos, Andrew D. Bailey, Joshua Stuart, Benedict Paten
Format:	article
Language:	EN
Published:	Nature Portfolio 2021
Subjects:	Science Q
Online Access:	https://doaj.org/article/d5ed7a8399bc4a528ffb86cdb93210db
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spelling	oai:doaj.org-article:d5ed7a8399bc4a528ffb86cdb93210db2021-11-14T12:36:47ZTowards inferring nanopore sequencing ionic currents from nucleotide chemical structures10.1038/s41467-021-26929-x2041-1723https://doaj.org/article/d5ed7a8399bc4a528ffb86cdb93210db2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26929-xhttps://doaj.org/toc/2041-1723Nanopore sequencing allows users to identify nucleotide sequence from ionic currents. Here, the authors use deep learning to facilitate the de novo identification of modified nucleotides, particularly methylated cytosine and guanine, from the measured ionic currents without the need for controls.Hongxu DingIoannis AnastopoulosAndrew D. BaileyJoshua StuartBenedict PatenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hongxu Ding Ioannis Anastopoulos Andrew D. Bailey Joshua Stuart Benedict Paten Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures
description	Nanopore sequencing allows users to identify nucleotide sequence from ionic currents. Here, the authors use deep learning to facilitate the de novo identification of modified nucleotides, particularly methylated cytosine and guanine, from the measured ionic currents without the need for controls.
format	article
author	Hongxu Ding Ioannis Anastopoulos Andrew D. Bailey Joshua Stuart Benedict Paten
author_facet	Hongxu Ding Ioannis Anastopoulos Andrew D. Bailey Joshua Stuart Benedict Paten
author_sort	Hongxu Ding
title	Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures
title_short	Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures
title_full	Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures
title_fullStr	Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures
title_full_unstemmed	Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures
title_sort	towards inferring nanopore sequencing ionic currents from nucleotide chemical structures
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d5ed7a8399bc4a528ffb86cdb93210db
work_keys_str_mv	AT hongxuding towardsinferringnanoporesequencingioniccurrentsfromnucleotidechemicalstructures AT ioannisanastopoulos towardsinferringnanoporesequencingioniccurrentsfromnucleotidechemicalstructures AT andrewdbailey towardsinferringnanoporesequencingioniccurrentsfromnucleotidechemicalstructures AT joshuastuart towardsinferringnanoporesequencingioniccurrentsfromnucleotidechemicalstructures AT benedictpaten towardsinferringnanoporesequencingioniccurrentsfromnucleotidechemicalstructures
_version_	1718429135846506496

Towards inferring nanopore sequencing ionic currents from nucleotide chemical structures

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