Abstract
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.
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CITATION STYLE
Nykrynova, M., Maderankova, D., Barton, V., Bezdicek, M., Lengerova, M., & Skutkova, H. (2019). Entropy-Based Detection of Genetic Markers for Bacteria Genotyping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11466 LNBI, pp. 177–188). Springer Verlag. https://doi.org/10.1007/978-3-030-17935-9_17
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