Publication detail

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

SCHWARZEROVÁ, J.

Original Title

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

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

SCHWARZEROVÁ, J.

Released

27. 4. 2021

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Location

Brno

ISBN

978-80-214-5942-7

Book

Proceedings of the 27th Conference STUDENT EEICT 2021

Edition number

1

Pages from

301

Pages to

306

Pages count

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"
}