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NEJEZCHLEBOVÁ, J. SCHWARZEROVÁ, J.
Originální název
Operon identifier: Identification of operon structures in the whole genome
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Currently, operon prediction is based on the distance of neighboring genes on the functional relationships of their products that encode proteins in a given nucleotide sequence, or on ORF distances. This study deals with the design of a new function that detects operon structures based on information from gene expression or alternatively in combination with previous information from current online available tools. The function was implemented in Python language and tested on Clostridium beijerinckii NRRL B-598. This bacterium has huge potential in biotechnology and research due to its fermentation product, butanol.
Klíčová slova
Gene expression information, Transcription unit, Correlation coefficient, Clostridium beijerinckii
Autoři
NEJEZCHLEBOVÁ, J.; SCHWARZEROVÁ, J.
Vydáno
26. 4. 2022
Nakladatel
Brno University of Technology, Faculty of electrical engineering and communication
Místo
Brno
ISBN
978-80-214-6030-0
Kniha
Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers
Číslo edice
1
Strany od
80
Strany do
83
Strany počet
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf
BibTex
@inproceedings{BUT179427, author="Julie {Nejezchlebová} and Jana {Schwarzerová}", title="Operon identifier: Identification of operon structures in the whole genome", booktitle="Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers", year="2022", number="1", pages="80--83", publisher="Brno University of Technology, Faculty of electrical engineering and communication", address="Brno", isbn="978-80-214-6030-0", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf" }