期刊
PROTEOMICS
卷 10, 期 1, 页码 164-167出版社
WILEY
DOI: 10.1002/pmic.200900570
关键词
Bioinformatics; Data cleaning; MS
资金
- NIH [5T32GM08349]
- University of Wisconsin
- Beckman Foundation, Eli Lilly
- National Institutes of Health [R01GM080148, P01GM081629]
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P01GM081629, R01GM080148, T32GM008349] Funding Source: NIH RePORTER
Collision-activated dissociation and electron-transfer dissociation (ETD) each produce spectra containing unique features. Though several database search algorithms (e.g. SEQUEST, MASCOT, and Open Mass Spectrometry Search Algorithm) have been modified to search ETD data, this consists chiefly of the ability to search for c- and z(center dot)-ions; additional ETD-specific features are often unaccounted for and may hinder identification. Removal of these features via spectral processing increased total search sensitivity by similar to 20% for both human and yeast data sets; unique peptide identifications increased by similar to 17% for the yeast data sets and similar to 16% for the human data set.
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