Peptide identification in whole-sample mass spectrometry proteomics.
Peptide identification for whole-sample mass spectrometry (MS) proteomics is in its infancy. While sophisticated tandem MS/MS instrumentation exists for accurate peptide identification after sample separation, there are few options for those who produce data from intact protein samples. We present a novel algorithm which uses available information from the literature and online protein databases to provide reliable labeling of features in whole-sample MS proteomic data.
Pelikan
Richard
R
Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.
Hauskrecht
Milos
M
D000465:Algorithms; D015415:Biomarkers / Q000032:analysis*; D006801:Humans; D010455:Peptides / Q000032:analysis*; D011506:Proteins / Q000032:analysis; D040901:Proteomics / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods
D015415:Biomarkers; D010455:Peptides; D011506:Proteins