Detail publikace

Clustering of Klebsiella Strains Based on Variability in Sequencing Data

BARTOŇ, V. NYKRÝNOVÁ, M. BEZDÍČEK, M. LENGEROVÁ, M. ŠKUTKOVÁ, H.

Originální název

Clustering of Klebsiella Strains Based on Variability in Sequencing Data

Anglický název

Clustering of Klebsiella Strains Based on Variability in Sequencing Data

Jazyk

en

Originální abstrakt

Genotyping is a method necessary to distinguish between strains of bacteria. Using whole sequences for analysis is a computational demanding and time-consuming approach. We establish a workflow to convert sequences to a numerical signal representing the variability of sequences. After segmentation and using only parts of the signals, they have still enough information to form a topologically according to the clustering structure.

Anglický abstrakt

Genotyping is a method necessary to distinguish between strains of bacteria. Using whole sequences for analysis is a computational demanding and time-consuming approach. We establish a workflow to convert sequences to a numerical signal representing the variability of sequences. After segmentation and using only parts of the signals, they have still enough information to form a topologically according to the clustering structure.

Dokumenty

BibTex 


@inproceedings{BUT156910,
  author="Vojtěch {Bartoň} and Markéta {Nykrýnová} and Matěj {Bezdíček} and Martina {Lengerová} and Helena {Škutková}",
  title="Clustering of Klebsiella Strains Based on Variability in Sequencing Data",
  annote="Genotyping is a method necessary to distinguish between strains of bacteria. Using whole sequences for analysis is a computational demanding and time-consuming approach. We establish a workflow to convert sequences to a numerical signal representing the variability of sequences. After segmentation and using only parts of the signals, they have still enough information to form a topologically according to the clustering structure.",
  booktitle="Bioinformatics and Biomedical Engineering. IWBBIO 2019.",
  chapter="156910",
  doi="10.1007/978-3-030-17935-9_18",
  howpublished="print",
  year="2019",
  month="april",
  pages="189--199",
  type="conference paper"
}