Non-metric Similarity Search of Tandem Mass Spectra Including Posttranslational Modifications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10099576" target="_blank" >RIV/00216208:11320/12:10099576 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.jda.2011.10.003" target="_blank" >http://dx.doi.org/10.1016/j.jda.2011.10.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jda.2011.10.003" target="_blank" >10.1016/j.jda.2011.10.003</a>
Alternative languages
Result language
angličtina
Original language name
Non-metric Similarity Search of Tandem Mass Spectra Including Posttranslational Modifications
Original language description
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an "in vitro" sample. The sequences are not determined directly, but they must be interpreted from the mass spectra, whichis the output of the mass spectrometer. This work is focused on a similarity-search approach to mass spectra interpretation, where the parameterized Hausdorff distance (dHP) is used as the similarity. In order to provide an efficient similarity search under dHP, the metric access methods and the TriGen algorithm (controlling the metricity of dHP) are employed. Moreover, the search model based on the dHP supports posttranslational modifications (PTMs) in the query mass spectra, what is typically a problem when an indexing approach is used. Our approach can be utilized as a coarse filter by any other database approach for mass spectra interpretation.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Discrete Algorithms
ISSN
1570-8667
e-ISSN
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Volume of the periodical
2012
Issue of the periodical within the volume
13
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
13
Pages from-to
19-31
UT code for WoS article
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EID of the result in the Scopus database
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