A Hidden Markov Model for de Novo Peptide Sequencing

Fischer, Bernd, Roth, Volker, Grossmann, Jonas, Baginsky, Sacha, Gruissem, Wilhelm, Roos, Franz, Widmayer, Peter, Buhmann, Joachim M.

Neural Information Processing Systems 

De novo Sequencing of peptides is a challenging task in proteome research. Whilethere exist reliable DNAsequencing methods, the highthroughput denovo sequencing of proteins by mass spectrometry is still an open problem. Current approaches suffer from a lack in precision to detect mass peaks in the spectrograms. In this paper we present a novel method for de novo peptide sequencing based on a hidden Markov model. Experiments effectively demonstrate that this new method significantly outperformsstandard approaches in matching quality.

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