Detail publikace

OPERON-EXPRESSER: The Innovated Gene Expression-based Algorithm for Operon Structures Inference

SCHWARZEROVÁ, J.

Originální název

OPERON-EXPRESSER: The Innovated Gene Expression-based Algorithm for Operon Structures Inference

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

Current biotechnological research of bacterial genomes has huge potential due to the use of next-generation sequencing (NGS) platforms. NGS era opens paths for analysis of data for sufficient description of microorganisms with ecology and biotechnology potential in the future. Although some tools for inference of specific structures in bacterial genomes exist, their pipelines and methodologies are often based only on searching bacterial genome databases and comparison with model microorganisms. This paper deals with the design of a new algorithm for operon structures inference in bacterial genomes. The algorithm combines searching in bacterial databases and gene expression information processing. The algorithm was implemented in R language and tested on Clostridium beijerinckii NRRL B-598. The bacterium is a typical performer in the field of biofuels production due to its ability to produce butanol. Thanks to that this bacterial organism can be of great potential from an ecological and biotechnological point of view. The paper also provides a comparison of operon structures derived by Operon-mapper and its extending by Operon-expresser.

Klíčová slova

Bacterial genome, Operon prediction, Operon-mapper, Gene expression information, Biotechnology, Transcriptome, RNA-Seq, Clostridium beijerinckii NRRL B-598

Autoři

SCHWARZEROVÁ, J.

Vydáno

27. 4. 2021

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5942-7

Kniha

Proceedings of the 27th Conference STUDENT EEICT 2021

Číslo edice

1

Strany od

301

Strany do

306

Strany počet

5

URL

https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf

BibTex

@inproceedings{BUT172015,
  author="Jana {Schwarzerová}",
  title="OPERON-EXPRESSER: The Innovated Gene Expression-based Algorithm for Operon Structures Inference",
  booktitle="Proceedings of the 27th Conference STUDENT EEICT 2021",
  year="2021",
  number="1",
  pages="301--306",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5942-7",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf"
}