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Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10033413" target="_blank" >RIV/00216208:11320/10:10033413 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry

  • Original language description

    Tandem mass spectrometry is a widely used method for protein and peptide sequences identification. Since the mass spectra contain up to 80% of noise and many other inaccuracies, there still exists a need for more accurate algorithms for mass spectra interpretation. The sizes of protein databases grow rapidly and the methods for indexing these databases in order to interpret mass spectra become very popular. The parametrised Hausdorff distance, suitable for non-metric search, is presented in this paper.It models the similarity among tandem mass spectra very well and it is able to match the spectrum to correct peptide sequence in many cases without any post-processing scoring system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F09%2F0683" target="_blank" >GA201/09/0683: Similarity searching in very large multimedia databases</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

  • Article name in the collection

    Proceedings of the Dateso 2010 Annual International Workshop on DAtabases, TExts, Specifications and Objects

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

  • Publisher name

    MATFYZPRESS

  • Place of publication

    Prague

  • Event location

    Stedronin-Plazy, Czech Republic

  • Event date

    Apr 21, 2010

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article