Analysis Of Main Otu Picking Methods By Bipartite Graphs

but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.contributor.authorŠafárová, Marcela
dc.date.accessioned2020-05-07T09:40:26Z
dc.date.available2020-05-07T09:40:26Z
dc.date.issued2017cs
dc.description.abstractStudies of ecosystems containing millions of microbial organisms, so called microbiomes, using DNA sequencing became very popular. The main step involves fast clustering of sequences belonging to the same operational taxonomic units (OTU) that represent the same or taxonomically related organisms. This step, known as OTU picking, can be performed by several techniques and significantly affects the final interpretation of the data. In this paper, a novel R/Biconductor package for microbiome data presentation using bipartite graphs is introduced while its benefits are demonstrated during comparison of 3 OTU picking techniques.en
dc.formattextcs
dc.format.extent152-154cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 152-154. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187066
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 23st Conference STUDENT EEICT 2017en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectbipartite graphsen
dc.subjectmicrobiome diversityen
dc.subjectOTU pickingen
dc.titleAnalysis Of Main Otu Picking Methods By Bipartite Graphsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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