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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F24%3AE0111543" target="_blank" >RIV/00843989:_____/24:E0111543 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings I of the 30th Conference STUDENT EEICT 2024

  • ISBN

    978-80-214-6231-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    28-31

  • Publisher name

    Vysoké učení technické,

  • Place of publication

    Brno : Vysoké učení technické, 2024

  • Event location

    Brno, Czech Republic

  • Event date

    Apr 23, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article