Word Entropy-Based Approach to Detect Highly Variable Genetic Markers for Bacterial Genotyping
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F21%3A00074422" target="_blank" >RIV/65269705:_____/21:00074422 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/21:PU138509
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fmicb.2021.631605/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fmicb.2021.631605/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fmicb.2021.631605" target="_blank" >10.3389/fmicb.2021.631605</a>
Alternative languages
Result language
angličtina
Original language name
Word Entropy-Based Approach to Detect Highly Variable Genetic Markers for Bacterial Genotyping
Original language description
Genotyping methods are used to distinguish bacterial strains from one species. Thus, distinguishing bacterial strains on a global scale, between countries or local districts in one country is possible. However, the highly selected bacterial populations (e.g., local populations in hospital) are typically closely related and low diversified. Therefore, currently used typing methods are not able to distinguish individual strains from each other. Here, we present a novel pipeline to detect highly variable genetic segments for genotyping a closely related bacterial population. The method is based on a degree of disorder in analyzed sequences that can be represented by sequence entropy. With the identified variable sequences, it is possible to find out transmission routes and sources of highly virulent and multiresistant strains. The proposed method can be used for any bacterial population, and due to its whole genome range, also non-coding regions are examined.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10606 - Microbiology
Result continuities
Project
<a href="/en/project/GA17-01821S" target="_blank" >GA17-01821S: High throughput bacterial genome assembly and annotation techniques using genomic signal processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Microbiology
ISSN
1664-302X
e-ISSN
—
Volume of the periodical
12
Issue of the periodical within the volume
FEB 3
Country of publishing house
CH - SWITZERLAND
Number of pages
8
Pages from-to
631605
UT code for WoS article
000618537200001
EID of the result in the Scopus database
2-s2.0-85100926962