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Protein Sequences Identification using NM-tree

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10099582" target="_blank" >RIV/00216208:11320/11:10099582 - isvavai.cz</a>

  • Result on the web

    <a href="http://dl.acm.org/citation.cfm?id=1995440" target="_blank" >http://dl.acm.org/citation.cfm?id=1995440</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/1995412.1995440" target="_blank" >10.1145/1995412.1995440</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Protein Sequences Identification using NM-tree

  • Original language description

    We have generalized a method for tandem mass spectra interpretation, based on the parameterized Hausdorff distance. Instead of just peptides (short pieces of proteins), in this paper we describe the interpretation of whole protein sequences. For this purpose, we employ the recently introduced NM-tree to index the database of hypothetical mass spectra for exact or fast approximate search. The NM-tree combines the M-tree with the TriGen algorithm in a way that allows to dynamically control the retrieval precision at query time. A scheme for protein sequences identification using the NM-tree is proposed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Fourth International Conference on Similarity Search and Applications 2011

  • ISBN

    978-1-4503-0795-6

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    125-126

  • Publisher name

    ACM

  • Place of publication

    New York, USA

  • Event location

    Lipari, Italy

  • Event date

    Jun 30, 2011

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article