CNproScan: Hybrid CNV detection for bacterial genomes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F21%3A00074845" target="_blank" >RIV/65269705:_____/21:00074845 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/21:PU141288
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0888754321002779?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0888754321002779?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ygeno.2021.06.040" target="_blank" >10.1016/j.ygeno.2021.06.040</a>
Alternative languages
Result language
angličtina
Original language name
CNproScan: Hybrid CNV detection for bacterial genomes
Original language description
Discovering copy number variation (CNV) in bacteria is not in the spotlight compared to the attention focused on CNV detection in eukaryotes. However, challenges arising from bacterial drug resistance bring further interest to the topic of CNV and its role in drug resistance. General CNV detection methods do not consider bacteria's features and there is space to improve detection accuracy. Here, we present a CNV detection method called CNproScan focused on bacterial genomes. CNproScan implements a hybrid approach and other bacteria-focused features and depends only on NGS data. We benchmarked our method and compared it to the previously published methods and we can resolve to achieve a higher detection rate together with providing other beneficial features, such as CNV classification. Compared with other methods, CNproScan can detect much shorter CNV events.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
Genomics
ISSN
0888-7543
e-ISSN
—
Volume of the periodical
113
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
3103-3111
UT code for WoS article
000688249700003
EID of the result in the Scopus database
2-s2.0-85109766352