Detail publikace
Entropy-Based Detection of Genetic Markers for Bacteria Genotyping
NYKRÝNOVÁ, M. MADĚRÁNKOVÁ, D. BARTOŇ, V. BEZDÍČEK, M. LENGEROVÁ, M. ŠKUTKOVÁ, H.
Originální název
Entropy-Based Detection of Genetic Markers for Bacteria Genotyping
Anglický název
Entropy-Based Detection of Genetic Markers for Bacteria Genotyping
Jazyk
en
Originální abstrakt
Genotyping is necessary for the discrimination of bacteria strains. However, methods such as multilocus sequence typing (MLST) or minim typing (mini-MLST) use a combination of several genes. In this paper, we present an augmented method for typing Klebsiella pneumoniae using highly variable fragments of its genome. These fragments were identified based on the entropy of the individual positions. Our method employs both coding and non-coding parts of the genome. These findings may lead to decrease in the number of variable parts used in genotyping and to make laboratory methods faster and cheaper.
Anglický abstrakt
Genotyping is necessary for the discrimination of bacteria strains. However, methods such as multilocus sequence typing (MLST) or minim typing (mini-MLST) use a combination of several genes. In this paper, we present an augmented method for typing Klebsiella pneumoniae using highly variable fragments of its genome. These fragments were identified based on the entropy of the individual positions. Our method employs both coding and non-coding parts of the genome. These findings may lead to decrease in the number of variable parts used in genotyping and to make laboratory methods faster and cheaper.
Dokumenty
BibTex
@inproceedings{BUT156901,
author="Markéta {Nykrýnová} and Denisa {Maděránková} and Vojtěch {Bartoň} and Matěj {Bezdíček} and Martina {Lengerová} and Helena {Škutková}",
title="Entropy-Based Detection of Genetic Markers for Bacteria Genotyping",
annote="Genotyping is necessary for the discrimination of bacteria strains. However, methods such as multilocus sequence typing (MLST) or minim typing (mini-MLST) use a combination of several genes. In this paper, we present an augmented method for typing Klebsiella pneumoniae using highly variable fragments of its genome. These fragments were identified based on the entropy of the individual positions. Our method employs both coding and non-coding parts of the genome. These findings may lead to decrease in the number of variable parts used in genotyping and to make laboratory methods faster and cheaper.",
booktitle="Bioinformatics and Biomedical Engineering. IWBBIO 2019.",
chapter="156901",
doi="10.1007/978-3-030-17935-9_17",
howpublished="print",
year="2019",
month="april",
pages="177--188",
type="conference paper"
}