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Method for identification of condition associated public antigen receptor sequences

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F18%3A00106651" target="_blank" >RIV/00216224:14740/18:00106651 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.7554/elife.33050" target="_blank" >http://dx.doi.org/10.7554/elife.33050</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7554/elife.33050" target="_blank" >10.7554/elife.33050</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Method for identification of condition associated public antigen receptor sequences

  • Original language description

    Diverse repertoires of hypervariable immunoglobulin receptors (TCR and BCR) recognize antigens in the adaptive immune system. The development of immunoglobulin receptor repertoire sequencing methods makes it possible to perform repertoire-wide disease association studies of antigen receptor sequences. We developed a statistical framework for associating receptors to disease from only a small cohort of patients, with no need for a control cohort. Our method successfully identifies previously validated Cytomegalovirus and type one diabetes responsive TCR beta sequences

  • 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

    30102 - Immunology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    elife

  • ISSN

    2050-084X

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    MAR

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    13

  • Pages from-to

    1-13

  • UT code for WoS article

    000428616000001

  • EID of the result in the Scopus database

    2-s2.0-85045687546