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KEC: unique sequence search by K-mer exclusion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F21%3A43902873" target="_blank" >RIV/60076658:12220/21:43902873 - isvavai.cz</a>

  • Result on the web

    <a href="https://academic.oup.com/bioinformatics/article/37/19/3349/6182676?login=true" target="_blank" >https://academic.oup.com/bioinformatics/article/37/19/3349/6182676?login=true</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bioinformatics/btab196" target="_blank" >10.1093/bioinformatics/btab196</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    KEC: unique sequence search by K-mer exclusion

  • Original language description

    Searching for amino acid or nucleic acid sequences unique to one organism may be challenging depending on size of the available datasets. K-mer elimination by cross-reference (KEC) allows users to quickly and easily find unique sequences by providing target and non-target sequences. Due to its speed, it can be used for datasets of genomic size and can be run on desktop or laptop computers with modest specifications.

  • 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

    10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Result continuities

  • Project

    <a href="/en/project/LTC19014" target="_blank" >LTC19014: Detection of tomato related xanthomonads using loop-mediated isothermal amplification</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

    Bioinformatics

  • ISSN

    1367-4803

  • e-ISSN

  • Volume of the periodical

    37

  • Issue of the periodical within the volume

    19

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    2

  • Pages from-to

    3349-3350

  • UT code for WoS article

    000733827400034

  • EID of the result in the Scopus database