title: Peak bagging for peptide mass fingerprinting.
abstract: BACKGROUND
  Mass Spectrometry (MS)-based protein identification via peptide mass fingerprinting (PMF) is a key component in high-throughput proteome research. While PMF was the first commonly used protein identification method, provided higher throughput than the tandem MS-based method, its accuracy is lower than that of the tandem MS method. Thus, it is desirable to develop PMF-based algorithm with higher protein identification accuracy to facilitate proteome research.
  
  
  RESULTS
  We propose a peak bagging method for single MS-based protein identification. It combines results from multiple PMF algorithms, where each PMF algorithm takes a random peak subset as input. Evaluation with a set of real MALDI-TOF MS spectra shows that the new peak bagging method provides consistent improvements over the single PMF algorithm.
authors.affiliation: Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. eezyhe@ust.hk
authors.forename: Zengyou
authors.initials: Z
authors.lastname: He
authors.forename: Can
authors.initials: C
authors.lastname: Yang
authors.forename: Weichuan
authors.initials: W
authors.lastname: Yu
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D013058:Mass Spectrometry / Q000379:methods*; D008969:Molecular Sequence Data; D010449:Peptide Mapping / Q000379:methods*; D010455:Peptides / Q000737:chemistry*; D020543:Proteome / Q000737:chemistry*; D020539:Sequence Analysis, Protein / Q000379:methods*
chemical_list: D010455:Peptides; D020543:Proteome