Journal
JOURNAL OF COMPUTATIONAL BIOLOGY
Volume 16, Issue 8, Pages 1169-1182Publisher
MARY ANN LIEBERT INC
DOI: 10.1089/cmb.2009.0122
Keywords
algorithms; combinatorial optimization; combinatorics; dynamic programming; machine learning; Markov chains; mass spectroscopy; statistics
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We report on a new algorithm for combining the information from several mass spectra of the same peptide. The algorithm automatically learns peptide fragmentation patterns, so that it can handle spectra from any instrument and fragmentation technique. We demonstrate the utility of the algorithm, and the power of multiple spectra, by showing that combining pairs of spectra (one CID and one ETD) greatly improves de novo sequencing success rates.
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