MetaStorm: A Public Resource for Customizable Metagenomics Annotation

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dc.contributor.authorArango-Argoty, Gustavoen
dc.contributor.authorSingh, Garhien
dc.contributor.authorHeath, Lenwood S.en
dc.contributor.authorPruden, Amyen
dc.contributor.authorXiao, Weidongen
dc.contributor.authorZhang, Liqingen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2017-03-08T19:39:58Zen
dc.date.available2017-03-08T19:39:58Zen
dc.date.issued2016-09-15en
dc.description.abstractMetagenomics is a trending research area, calling for the need to analyze large quantities of data generated from next generation DNA sequencing technologies. The need to store, retrieve, analyze, share, and visualize such data challenges current online computational systems. Interpretationand annotation of specific information is especially a challenge for metagenomic data sets derived from environmental samples, because current annotation systems only offer broad classification of microbial diversity and function. Moreover, existing resources are not configured to readily address common questions relevant to environmental systems. Here we developed a new online user-friendly metagenomic analysis server called MetaStorm (http://bench.cs.vt.edu/MetaStorm/), which facilitates customization of computational analysis for metagenomic data sets. Users can upload their own reference databases to tailor the metagenomics annotation to focus on various taxonomic and functional gene markers of interest. MetaStormoffers two major analysis pipelines: an assembly-based annotation pipeline and the standard read annotation pipeline used by existing web servers. These pipelines can be selected individually or together. Overall, MetaStorm provides enhanced interactive visualization to allow researchers to explore and manipulate taxonomy and functional annotation at various levels of resolution.en
dc.description.versionPublished versionen
dc.format.extent? - ? (13) page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0162442en
dc.identifier.issn1932-6203en
dc.identifier.issue9en
dc.identifier.orcidHeath, LS [0000-0003-1608-431X]en
dc.identifier.urihttp://hdl.handle.net/10919/75498en
dc.identifier.volume11en
dc.languageEnglishen
dc.publisherPLOSen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000383706900048&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectrna gene databaseen
dc.subjectmicrobial communityen
dc.subjectsequencing dataen
dc.subjectgut microbiomeen
dc.subjectdiversityen
dc.subjectevolutionen
dc.subjectalignmenten
dc.subjectecologyen
dc.subjecttoolsen
dc.subjectsoilen
dc.titleMetaStorm: A Public Resource for Customizable Metagenomics Annotationen
dc.title.serialPLOS ONEen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Civil & Environmental Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/Computer Scienceen
pubs.organisational-group/Virginia Tech/Faculty of Health Sciencesen

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