Bacterial Identifier: Accelerating Bacterial Genome Detection

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but.event.date23.04.2024cs
but.event.titleSTUDENT EEICT 2024cs
dc.contributor.authorNejezchlebová, Julie
dc.contributor.authorRychlík, Ivan
dc.contributor.authorSchwarzerová, Jana
dc.date.accessioned2024-07-09T07:38:36Z
dc.date.available2024-07-09T07:38:36Z
dc.date.issued2024cs
dc.description.abstractBacterial identification is crucial for effectively monitoring and controlling the spread of infectious diseases. In addressing this critical need, our study introduces an engineered application designed to expedite the analysis of bacterial sequencing data, thus providing a streamlined method for species identification. The Bacterial Identifier underwent thorough testing using a significant dataset obtained from the Veterinary Research Institute. Central to the app's functionality is the integration of three essential tools. Implemented through a cohesive bash script, these tools are seamlessly combined to ensure optimal performance and accuracy in bacterial identification. Furthermore, to enhance user experience, a userfriendly interface was developed using Python 3, facilitating intuitive navigation and efficient utilization of the application's capabilities.en
dc.formattextcs
dc.format.extent97-100cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 97-100. ISBN 978-80-214-6231-1cs
dc.identifier.isbn978-80-214-6231-1
dc.identifier.issn2788-1334
dc.identifier.urihttps://hdl.handle.net/11012/249205
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 30st Conference STUDENT EEICT 2024: General papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectMicrobiotaen
dc.subjectGenetic-level identificationen
dc.subjectBioinformatic analysisen
dc.subjectBacterial identification appen
dc.titleBacterial Identifier: Accelerating Bacterial Genome Detectionen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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