Assessing peptide de novo sequencing algorithms performance on large and diverse data sets.

Assessing peptide de novo sequencing algorithms performance on large and diverse data sets. Pitzer, E., Masselot, A., & Colinge, J. Proteomics, 7(17):3051–3054, 2007.
doi abstract bibtex

De novo peptide sequencing algorithms are often tested on relatively small data sets made of excellent spectra. Since there are always more and more tandem mass spectra available, we have assembled six large, reliable, and diverse (three mass spectrometer types) data sets intended for such tests and we make them accessible via a web server. To exemplify their use we investigate the performance of Lutefisk, PepNovo, and PepNovoTag, three well-established peptide de novo sequencing programs.

@Article{pitzer07assessing,
  author    = {Erik Pitzer and Alexandre Masselot and Jacques Colinge},
  title     = {Assessing peptide de novo sequencing algorithms performance on large and diverse data sets.},
  journal   = {Proteomics},
  year      = {2007},
  volume    = {7},
  number    = {17},
  pages     = {3051--3054},
  abstract  = {De novo peptide sequencing algorithms are often tested on relatively small data sets made of excellent spectra. Since there are always more and more tandem mass spectra available, we have assembled six large, reliable, and diverse (three mass spectrometer types) data sets intended for such tests and we make them accessible via a web server. To exemplify their use we investigate the performance of Lutefisk, PepNovo, and PepNovoTag, three well-established peptide de novo sequencing programs.},
  doi       = {10.1002/pmic.200700224},
  keywords  = {mass spectrometry},
  optmonth  = sep,
  owner     = {Sebastian},
  pmid      = {17683051},
  timestamp = {2008.02.08},
}

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