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dc.contributor.authorKupková, Kristýna
dc.date.accessioned2020-05-07T09:40:29Z
dc.date.available2020-05-07T09:40:29Z
dc.date.issued2017cs
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 324-328. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187119
dc.description.abstractThe revolutionary sequencing technology introduced by Oxford Nanopore Technologies – MinION holds a great promise in the field of metagenomics due to its low cost, produced long reads and small size, which makes it available also for field work. The only problem preventing this technology from reaching its full potential is the lack of available computational tools for handling the produced data. Here we present an algorithm for processing of the raw signal sequences generated by nanopore sequencing for metagenomic purposes allowing to remove viral sequences from a contaminated metagenomic sample.en
dc.formattextcs
dc.format.extent324-328cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
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.subjectmetagenomicsen
dc.subjectWMSen
dc.subjectOxford Nanoporeen
dc.subjectsignal processingen
dc.titleSignal Based Processing Of Metagenomic Data From Nanopore Sequencingen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionPublishers's versionen


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