Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra.
Shotgun proteomics is a high-throughput technology used to identify unknown proteins in a complex mixture. At the heart of this process is a prediction task, thespectrum identification problem, in which each fragmentation spectrum produced by a shotgun proteomics experiment must be mapped to the peptide (protein subsequence) which generated the spectrum. We propose a new algorithm for spectrum identification, based on dynamic Bayesian networks, which significantly out-performs the de-facto standard tools for this task: SEQUEST and Mascot.
Department of Electrical Engineering, University of Washington, Seattle, WA 98195.
Ajit P
AP
Singh
Department of Electrical Engineering, University of Washington, Seattle, WA 98195.
John
J
Halloran
Department of Electrical Engineering, University of Washington, Seattle, WA 98195.
Jeff A
JA
Bilmes
Department of Electrical Engineering, University of Washington, Seattle, WA 98195.
Katrin
K
Kirchoff
Department of Genome Sciences, University of Washington, Seattle, WA 98195.
William S
WS
Noble