Estimating Probabilities of Peptide Assignments to LC-FTICR-MS Observations
One of the grand challenges in the post-genomic era is the characterization of the proteins expressed in a cell under specific conditions, proteomics. A promising technology for high-throughput proteomics is mass spectrometry (MS). The accuracy and certainty of the determinations of peptide identities and abundances provided by MS are important to systems biology research. After a tryptically digested protein mixture is analyzed by LC-FTICR-MS, the observed masses and normalized elution times of the detected features are matched to theoretical masses and elution times of known peptides listed in a large database. Assuming a bivariate normal probability distribution on the uncertainties in the masses and the normalized elution times, the probability of a correct match is estimated for each peptide in the reference database using statistical classification methods.
- Research Organization:
- Pacific Northwest National Lab., Richland, WA (US)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- AC06-76RL01830
- OSTI ID:
- 15009510
- Report Number(s):
- PNNL-SA-42106; KP1102010; TRN: US200428%%1101
- Resource Relation:
- Conference: Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'04), Las Vegas, Nevada (United States), 06/21/2004--06/24/2004; Other Information: PBD: 21 Jun 2004
- Country of Publication:
- United States
- Language:
- English
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