SimTandem: similarity search in tandem mass spectra

  • Authors:
  • Jiří Novák;Jakub Galgonek;David Hoksza;Tomáš Skopal

  • Affiliations:
  • Siret Research Group, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic;Siret Research Group, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic;Siret Research Group, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic;Siret Research Group, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic

  • Venue:
  • SISAP'12 Proceedings of the 5th international conference on Similarity Search and Applications
  • Year:
  • 2012

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Abstract

SimTandem is a tool for fast identification of protein and peptide sequences from tandem mass spectra. The identification is based on similarity search of spectra captured by a tandem mass spectrometer in databases of theoretical mass spectra generated from databases of known protein sequences. Since the number of protein sequences in the databases grows rapidly and a sequential scan over the entire database of spectra is time-consuming, the non-metric access methods are employed as the database indexing techniques. SimTandem is based on a previously proposed method and is freely available at http://www.simtandem.org or http://www.siret.cz/simtandem.