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JANIGOVÁ, P. WECKWERTH, W. SCHWARZEROVÁ, J.
Original Title
Py/ExplorReg: Exploration of Transcriptome for Potential Regulon Structure Detection
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
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.
Keywords
Arabidopsis thaliana, Gene expression analysis, Regulon, Transcription units
Authors
JANIGOVÁ, P.; WECKWERTH, W.; SCHWARZEROVÁ, J.
Released
23. 4. 2024
ISBN
978-80-214-6231-1
Book
Proceedings I of the 30th Conference STUDENT EEICT 2024
Edition
1
Pages from
28
Pages to
31
Pages count
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf
BibTex
@inproceedings{BUT193428, author="Patrícia {Janigová} and Wolfram {Weckwerth} and Jana {Schwarzerová}", title="Py/ExplorReg: Exploration of Transcriptome for Potential Regulon Structure Detection", booktitle="Proceedings I of the 30th Conference STUDENT EEICT 2024", year="2024", series="1", pages="28--31", isbn="978-80-214-6231-1", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf" }