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BARTOŇ, V. NYKRÝNOVÁ, M. BEZDÍČEK, M. LENGEROVÁ, M. ŠKUTKOVÁ, H.
Original Title
Clustering of Klebsiella Strains Based on Variability in Sequencing Data
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Genotyping; Klebsiella pneumoniae; Variability signal; Numerical processing;
Authors
BARTOŇ, V.; NYKRÝNOVÁ, M.; BEZDÍČEK, M.; LENGEROVÁ, M.; ŠKUTKOVÁ, H.
Released
13. 4. 2019
ISBN
978-3-030-17934-2
Book
Bioinformatics and Biomedical Engineering. IWBBIO 2019.
Edition number
11466
0302-9743
Periodical
Lecture Notes in Computer Science
State
Federal Republic of Germany
Pages from
189
Pages to
199
Pages count
11
BibTex
@inproceedings{BUT156910, author="Vojtěch {Bartoň} and Markéta {Jakubíčková} and Matěj {Bezdíček} and Martina {Lengerová} and Helena {Vítková}", title="Clustering of Klebsiella Strains Based on Variability in Sequencing Data", booktitle="Bioinformatics and Biomedical Engineering. IWBBIO 2019.", year="2019", journal="Lecture Notes in Computer Science", number="11466", pages="189--199", doi="10.1007/978-3-030-17935-9\{_}18", isbn="978-3-030-17934-2", issn="0302-9743" }