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The 3rd Central and Eastern European Proteomic Conference

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985904%3A_____%2F10%3A00347273" target="_blank" >RIV/67985904:_____/10:00347273 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The 3rd Central and Eastern European Proteomic Conference

  • Original language description

    The third Central and Eastern European Proteomic Conference was held at Hotel Benzcur, Budapest, Hungary, from the 6-9 October 2009. The meeting was the third in a series of proteomic conferences to be held in this region of Europe, with the key aim of strengthening the links with scientists from Central and Eastern Europe, as well as international groups worldwide. It was attended by more than 150 delegates from various countries and many proteomic topics, including biomarker discovery, post-translational modifications, clinical proteomics, as well as new proteomic technologies, which may facilitate future progress, were discussed over the 3 days.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    CE - Biochemistry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Expert Review of Proteomics

  • ISSN

    1478-9450

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    3

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database