Treffer: Py/ExplorReg: Exploration of Transcriptome for Potential Regulon Structure Detection
Title:
Py/ExplorReg: Exploration of Transcriptome for Potential Regulon Structure Detection
Publisher Information:
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií 2024
Document Type:
E-Ressource
Electronic Resource
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URL:
Availability:
Open access content. Open access content
openAccess
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
openAccess
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Note:
English
Other Numbers:
CZBUT oai:https://dspace.vut.cz:11012/249245
Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 28-31. ISBN 978-80-214-6231-1
978-80-214-6231-1
1536395613
Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 28-31. ISBN 978-80-214-6231-1
978-80-214-6231-1
1536395613
Contributing Source:
BRNO UNIV OF TECHNOL
From OAIster®, provided by the OCLC Cooperative.
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1536395613
Database:
OAIster
Weitere Informationen
This 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.