Detail publikace

Bioinformatic Tools for Genotyping of Klebsiella pneumoniae Isolates

NYKRÝNOVÁ, M. MADĚRÁNKOVÁ, D. BEZDÍČEK, M. LENGEROVÁ, M. ŠKUTKOVÁ, H.

Originální název

Bioinformatic Tools for Genotyping of Klebsiella pneumoniae Isolates

Anglický název

Bioinformatic Tools for Genotyping of Klebsiella pneumoniae Isolates

Jazyk

en

Originální abstrakt

Nowadays we use multiple molecular typing methods capable of distinguishing bacteria strains. However, a majority of these methods are time-consuming, and associated costs are not negligible. Also, reproducibility of typing results is questionable. Therefore, we propose new typing methodology based on bioinformatics. In this paper, we present an algorithm that is at the core of the new method. It consists of multiple steps, such as measuring the quality of input data, identification of genes having high diversity and analysis of results employing clustering and phylogenetic trees. Obtained results are then compared with results from the mini-MLST method.

Anglický abstrakt

Nowadays we use multiple molecular typing methods capable of distinguishing bacteria strains. However, a majority of these methods are time-consuming, and associated costs are not negligible. Also, reproducibility of typing results is questionable. Therefore, we propose new typing methodology based on bioinformatics. In this paper, we present an algorithm that is at the core of the new method. It consists of multiple steps, such as measuring the quality of input data, identification of genes having high diversity and analysis of results employing clustering and phylogenetic trees. Obtained results are then compared with results from the mini-MLST method.

Dokumenty

BibTex


@inproceedings{BUT150417,
  author="Markéta {Nykrýnová} and Denisa {Maděránková} and Helena {Škutková} and Matěj {Bezdíček} and Martina {Lengerová}",
  title="Bioinformatic Tools for Genotyping of Klebsiella pneumoniae Isolates",
  annote="Nowadays we use multiple molecular typing methods capable of distinguishing bacteria strains. However, a majority of these methods are time-consuming, and associated costs are not negligible. Also, reproducibility of typing results is questionable. Therefore, we propose new typing methodology based on bioinformatics. In this paper, we present an algorithm that is at the core of the new method. It consists of multiple steps, such as measuring the quality of input data, identification of genes having high diversity and analysis of results employing clustering and phylogenetic trees. Obtained results are then compared with results from the mini-MLST method.",
  booktitle="Information Technology in Biomedicine",
  chapter="150417",
  doi="10.1007/978-3-319-91211-0_37",
  howpublished="online",
  year="2019",
  month="january",
  pages="419--428",
  type="conference paper"
}