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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.
  • 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. (en)
Title
  • Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry
  • Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry (en)
skos:prefLabel
  • Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry
  • Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry (en)
skos:notation
  • RIV/00216208:11320/10:10033413!RIV11-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/09/0683), Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 278088
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/10:10033413
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • bioinformatics; peptide identification; metric access methods; tandem mass spectrometry (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [86868DE5E8FC]
http://linked.open...v/mistoKonaniAkce
  • Stedronin-Plazy, Czech Republic
http://linked.open...i/riv/mistoVydani
  • Prague
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Dateso 2010 Annual International Workshop on DAtabases, TExts, Specifications and Objects
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novák, Jiří
  • Hoksza, David
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1613-0073
number of pages
http://purl.org/ne...btex#hasPublisher
  • MATFYZPRESS
http://localhost/t...ganizacniJednotka
  • 11320
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