Gutenberg Open Science: seqQscorer: automated quality control of next-generation sequencing data using machine learning

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-6351

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DC Field	Value	Language
dc.contributor.author	Albrecht, Steffen	-
dc.contributor.author	Sprang, Maximilian	-
dc.contributor.author	Andrade, Miguel	-
dc.contributor.author	Fontaine, Jean-Fred	-
dc.date.accessioned	2021-09-20T08:16:52Z	-
dc.date.available	2021-09-20T08:16:52Z	-
dc.date.issued	2021	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/6361	-
dc.description.abstract	Controlling quality of next-generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterize common NGS quality features and develop a novel quality control procedure involving tree-based and deep learning classification algorithms. Predictive models, validated on internal and external functional genomics datasets, are to some extent generalizable to data from unseen species. The derived statistical guidelines and predictive models represent a valuable resource for users of NGS data to better understand quality issues and perform automatic quality control. Our guidelines and software are available at https://github.com/salbrec/seqQscorer.	en_GB
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	004 Informatik	de_DE
dc.subject.ddc	004 Data processing	en_GB
dc.subject.ddc	570 Biowissenschaften	de_DE
dc.subject.ddc	570 Life sciences	en_GB
dc.title	seqQscorer: automated quality control of next-generation sequencing data using machine learning	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-6351	-
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 10 Biologie	de
jgu.organisation.number	7970	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Genome biology	de
jgu.journal.volume	22	de
jgu.pages.alternative	75	de
jgu.publisher.year	2021	-
jgu.publisher.name	BioMed Central	de
jgu.publisher.place	London	de
jgu.publisher.uri	https://doi.org/10.1186/s13059-021-02294-2	de
jgu.publisher.issn	1474-760X	de
jgu.notes.public	Andrade, Miguel veröffentlicht unter: Andrade-Navarro, Miguel A.	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	004	de
jgu.subject.ddccode	570	de
jgu.publisher.doi	10.1186/s13059-021-02294-2
jgu.organisation.ror	https://ror.org/023b0x485
Appears in collections:	JGU-Publikationen

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