Bacterial Identifier: Accelerating Bacterial Genome Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU154768" target="_blank" >RIV/00216305:26220/24:PU154768 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bacterial Identifier: Accelerating Bacterial Genome Detection
Original language description
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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů