Py/ExplorReg: Exploration of Transcriptome for Potential Regulon Structure Detection

but.event.date23.04.2024cs
but.event.titleSTUDENT EEICT 2024cs
dc.contributor.authorJanigová, Patrícia
dc.contributor.authorWeckwerth, Wolfram
dc.contributor.authorSchwarzerová, Jana
dc.date.accessioned2024-07-09T07:38:40Z
dc.date.available2024-07-09T07:38:40Z
dc.date.issued2024cs
dc.description.abstractThis study introduces Py/ExplorReg, a tool designed for exploring transcriptomic landscapes and identifying potential regulon structures, with a particular focus on its utility in the context of Arabidopsis thaliana research. Developed using Python, Py/ExplorReg demonstrates its effectiveness in identifying potential regulons through a pioneering approach rooted in the analysis of gene expression data. Leveraging publicly available datasets from the EMBL-EBI project PRJNA779072, this case study highlights its adaptability to Arabidopsis thaliana datasets.en
dc.formattextcs
dc.format.extent28-31cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 28-31. ISBN 978-80-214-6231-1cs
dc.identifier.isbn978-80-214-6231-1
dc.identifier.issn2788-1334
dc.identifier.urihttps://hdl.handle.net/11012/249245
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.subjectArabidopsis thalianaen
dc.subjectGene expression analysisen
dc.subjectRegulonen
dc.subjectTranscription unitsen
dc.titlePy/ExplorReg: Exploration of Transcriptome for Potential Regulon Structure Detectionen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
28-eeict-2024.pdf
Size:
751.44 KB
Format:
Adobe Portable Document Format
Description: