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NEJEZCHLEBOVÁ, J. SCHWARZEROVÁ, J.
Original Title
Operon identifier: Identification of operon structures in the whole genome
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Gene expression information, Transcription unit, Correlation coefficient, Clostridium beijerinckii
Authors
NEJEZCHLEBOVÁ, J.; SCHWARZEROVÁ, J.
Released
26. 4. 2022
Publisher
Brno University of Technology, Faculty of electrical engineering and communication
Location
Brno
ISBN
978-80-214-6030-0
Book
Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers
Edition number
1
Pages from
80
Pages to
83
Pages count
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" }