Original title: Bacterial Identifier: Accelerating Bacterial Genome Detection
Authors: Nejezchlebová, Julie ; Rychlík, Ivan ; Schwarzerová, Jana
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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: Bacterial identification app; Bioinformatic analysis; Genetic-level identification; Microbiota
Host item entry: Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers, ISBN 978-80-214-6231-1, ISSN 2788-1334

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/249205

Permalink: http://www.nusl.cz/ntk/nusl-622555


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers