What the Phage: a scalable workflow for the identification and analysis of phage sequences

dc.bibliographicCitation.firstPagegiac110
dc.bibliographicCitation.volume11
dc.contributor.authorMarquet, Mike
dc.contributor.authorHölzer, Martin
dc.contributor.authorPletz, Mathias W
dc.contributor.authorViehweger, Adrian
dc.contributor.authorMakarewicz, Oliwia
dc.contributor.authorEhricht, Ralf
dc.contributor.authorBrandt, Christian
dc.date.accessioned2023-02-06T07:28:17Z
dc.date.available2023-02-06T07:28:17Z
dc.date.issued2022
dc.description.abstractPhages are among the most abundant and diverse biological entities on earth. Phage prediction from sequence data is a crucial first step to understanding their impact on the environment. A variety of bacteriophage prediction tools have been developed over the years. They differ in algorithmic approach, results, and ease of use. We, therefore, developed "What the Phage"(WtP), an easy-to-use and parallel multitool approach for phage prediction combined with an annotation and classification downstream strategy, thus supporting the user's decision-making process by summarizing the results of the different prediction tools in charts and tables. WtP is reproducible and scales to thousands of datasets through a workflow manager (Nextflow). WtP is freely available under a GPL-3.0 license (https://github.com/replikation/What_the_Phage).eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11232
dc.identifier.urihttp://dx.doi.org/10.34657/10268
dc.language.isoeng
dc.publisherOxford : Oxford University Press
dc.relation.doihttps://doi.org/10.1093/gigascience/giac110
dc.relation.essn2047-217X
dc.relation.ispartofseriesGigaScience 11 (2022)
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectDockereng
dc.subjecteasy to useeng
dc.subjectmultitool approacheng
dc.subjectNextfloweng
dc.subjectphage predictioneng
dc.subjectscalableeng
dc.subject.ddc570
dc.subject.ddc610
dc.titleWhat the Phage: a scalable workflow for the identification and analysis of phage sequenceseng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleGigaScience
tib.accessRightsopenAccess
wgl.contributorIPHT
wgl.subjectBiowissenschaften/Biologieger
wgl.subjectMedizin, Gesundheitger
wgl.typeZeitschriftenartikelger
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