OLAV-PMF: a novel scoring scheme for high-throughput peptide mass fingerprinting.
We propose a new type of probabilistic scoring scheme framework for protein identification from peptide masses. We first introduce the framework itself and explain its requirements. In a second part, we describe a particular implementation and test it on a data set of more than 8000 MALDI-TOF spectra with known contents. Doing so, we also compare its performance to two widely used scoring schemes, thereby demonstrating the potential of the proposed approach.
Magnin
Jérôme
J
Geneprot Inc, 2 rue Pré-de-la-Fontaine, CH-1217 Meyrin, Switzerland.
Masselot
Alexandre
A
Menzel
Christoph
C
Colinge
Jacques
J
D000465:Algorithms; D010449:Peptide Mapping / Q000379:methods* / Q000706:statistics & numerical data; D011336:Probability; D011506:Proteins / Q000032:analysis*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods
D011506:Proteins