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

peer-reviewed · Proteomics · 2007

peer-reviewed · Proteomics · 2007. Erik Pitzer et al. De novo peptide sequencing algorithms are often tested on relatively small data sets made of excellent…
Date 2007-09-01
Type peer-reviewed
Venue Proteomics
Publisher Wiley
Contribution benchmark
DOI 10.1002/pmic.200700224
Citations (OpenAlex) 39
Venue 2-year citedness 2.58

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.

Authors

  1. Erik Pitzer · Upper Austria University of Applied Sciences
  2. Alexandre Masselot · Geneva Bioinformatics S.A.
  3. Jacques Colinge · Upper Austria University of Applied Sciences

Methods and tools

Cites (5)

Cited by (5)

Seen in the charts

Back to the full map

Back to top