Publication detail

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

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

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"
}