A hidden Markov model for de novo peptide sequencing. Fischer, B., Roth, V., Buhmann, J. M., Grossmann, J., Baginsky, S., Gruissem, W., Roos, F., & Widmayer, P. In Proc. of Neural Information Processing Systems (NIPS 2004), volume 17, of Advances in Neural Information Processing Systems, pages 457–464, 2005. MIT Press. abstract bibtex De novo Sequencing of peptides is a challenging task in proteome research. While there exist reliable DNA-sequencing methods, the highthroughput de novo 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 outperforms standard approaches in matching quality.
@InProceedings{fischer05hidden,
author = {Bernd Fischer and Volker Roth and Joachim M. Buhmann and Jonas Grossmann and Sacha Baginsky and Wilhelm Gruissem and Franz Roos and Peter Widmayer},
title = {A hidden {Markov} model for de novo peptide sequencing.},
booktitle = {Proc. of Neural Information Processing Systems (NIPS 2004)},
year = {2005},
volume = {17},
series = {Advances in Neural Information Processing Systems},
pages = {457--464},
publisher = {MIT Press},
abstract = {De novo Sequencing of peptides is a challenging task in proteome research. While there exist reliable DNA-sequencing methods, the highthroughput de novo 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 outperforms standard approaches in matching quality.},
file = {FischerEtAl_HiddenMarkovModelDeNovoPeptide_NeurInformProcessSyst_2005.pdf:2005/FischerEtAl_HiddenMarkovModelDeNovoPeptide_NeurInformProcessSyst_2005.pdf:PDF},
keywords = {tandem ms},
owner = {Sebastian},
timestamp = {2006.04.05},
}
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