title: Spectrum fusion: using multiple mass spectra for de novo Peptide sequencing.
abstract: 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.
authors: Computing Science Lab, Palo Alto Research Center (PARC) , Palo Alto, California, USA. datta@cse.psu.edu
authors: Ritendra
authors: R
authors: Datta
authors: Marshall
authors: M
authors: Bern
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D008390:Markov Chains; D013058:Mass Spectrometry / Q000379:methods*; D010455:Peptides / Q000032:analysis*; D010949:Plasma / Q000737:chemistry; D020539:Sequence Analysis, Protein / Q000379:methods*
chemical_list: D010455:Peptides