Show simple item record

dc.contributor.authorSchwarzerová, Jana
dc.date.accessioned2021-07-21T07:06:59Z
dc.date.available2021-07-21T07:06:59Z
dc.date.issued2021cs
dc.identifier.citationProceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 301-305. ISBN 978-80-214-5942-7cs
dc.identifier.isbn978-80-214-5942-7
dc.identifier.urihttp://hdl.handle.net/11012/200768
dc.description.abstractCurrent biotechnological research of bacterial genomes has huge potential due to the useof next-generation sequencing (NGS) platforms. NGS era opens paths for analysis of data for sufficientdescription of microorganisms with ecology and biotechnology potential in the future. Althoughsome tools for inference of specific structures in bacterial genomes exist, their pipelines andmethodologies are often based only on searching bacterial genome databases and comparison withmodel microorganisms. This paper deals with the design of a new algorithm for operon structuresinference in bacterial genomes. The algorithm combines searching in bacterial databases and geneexpression information processing. The algorithm was implemented in R language and tested onClostridium beijerinckii NRRL B-598. The bacterium is a typical performer in the field of biofuelsproduction due to its ability to produce butanol. Thanks to that this bacterial organism can be ofgreat potential from an ecological and biotechnological point of view. The paper also provides acomparison of operon structures derived by Operon-mapper and its extending by Operon-expresser.en
dc.formattextcs
dc.format.extent301-305cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 27st Conference STUDENT EEICT 2021: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectBacterial genomeen
dc.subjectOperon predictionen
dc.subjectOperon-mapperen
dc.subjectGene expression information,Biotechnologyen
dc.subjectTranscriptomeen
dc.subjectRNA-Seqen
dc.subjectClostridium beijerinckii NRRL B-598en
dc.titleOperon-Expresser: The Innovated Gene Expression-Based Algorithm For Operon Structures In-Ferenceen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record