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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&apos;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

  • 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

    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