Publication detail

Bacterial Identifier: Accelerating Bacterial Genome Detection

NEJEZCHLEBOVÁ, J. RYCHLÍK, I. SCHWARZEROVÁ, J.

Original Title

Bacterial Identifier: Accelerating Bacterial Genome Detection

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Bacterial identification is crucial for effectively monitoring and controlling the spread of infectious diseases. In addressing this critical need, our study introduces an engineered application designed to expedite the analysis of bacterial sequencing data, thus providing a streamlined method for species identification. The Bacterial Identifier underwent thorough testing using a significant dataset obtained from the Veterinary Research Institute. Central to the app's functionality is the integration of three essential tools. Implemented through a cohesive bash script, these tools are seamlessly combined to ensure optimal performance and accuracy in bacterial identification. Furthermore, to enhance user experience, a userfriendly interface was developed using Python 3, facilitating intuitive navigation and efficient utilization of the application's capabilities.

Keywords

Microbiota, Genetic-level identification, Bioinformatic analysis, Bacterial identification app

Authors

NEJEZCHLEBOVÁ, J.; RYCHLÍK, I.; SCHWARZEROVÁ, J.

Released

23. 4. 2024

ISBN

978-80-214-6231-1

Book

Proceedings I of the 30th Conference STUDENT EEICT 2024

Edition

1

Pages from

97

Pages to

100

Pages count

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf

BibTex

@inproceedings{BUT193429,
  author="Julie {Nejezchlebová} and Ivan {Rychlík} and Jana {Schwarzerová}",
  title="Bacterial Identifier: Accelerating Bacterial Genome Detection",
  booktitle="Proceedings I of the 30th Conference STUDENT EEICT 2024",
  year="2024",
  series="1",
  pages="97--100",
  isbn="978-80-214-6231-1",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf"
}