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OLAV-PMF: a novel scoring scheme for high-throughput peptide mass fingerprinting
Jérôme Magnin1, Alexandre Masselot, Christoph Menzel
1Geneprot Inc, 2 rue Pré-de-la-Fontaine, CH-1217 Meyrin, Switzerland.
Abstract:
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.
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