Open Mass Spectrometry Search Algorithm

by: Lewis Y Geer, Sanford P Markey, Jeffrey A Kowalak, Lukas Wagner, Ming Xu, Dawn M Maynard, Xiaoyu Yang, Wenyao Shi, Stephen H Bryant

(1 Jun 2004)

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omssa, peptide-identification, peptide-identification-statistics, proteomics, proteomics-software, tandem-mass-spectrometry

摘要

Large numbers of MS/MS peptide spectra generated in proteomics experiments require efficient, sensitive and specific algorithms for peptide identification. In the Open Mass Spectrometry Search Algorithm [OMSSA], specificity is calculated by a classic probability score using an explicit model for matching experimental spectra to sequences. At default thresholds, OMSSA matches more spectra from a standard protein cocktail than a comparable algorithm. OMSSA is designed to be faster than published algorithms in searching large MS/MS datasets.

@misc{citeulike:1543449, abstract = {Large numbers of MS/MS peptide spectra generated in proteomics experiments require efficient, sensitive and specific algorithms for peptide identification. In the Open Mass Spectrometry Search Algorithm [OMSSA], specificity is calculated by a classic probability score using an explicit model for matching experimental spectra to sequences. At default thresholds, OMSSA matches more spectra from a standard protein cocktail than a comparable algorithm. OMSSA is designed to be faster than published algorithms in searching large MS/MS datasets.}, author = {Geer, Lewis Y. and Markey, Sanford P. and Kowalak, Jeffrey A. and Wagner, Lukas and Xu, Ming and Maynard, Dawn M. and Yang, Xiaoyu and Shi, Wenyao and Bryant, Stephen H. }, citeulike-article-id = {1543449}, eprint = {q-bio.QM/0406002}, keywords = {omssa, peptide-identification, peptide-identification-statistics, proteomics, proteomics-software, tandem-mass-spectrometry}, month = {Jun}, posted-at = {2007-08-08 15:37:29}, priority = {2}, title = {Open Mass Spectrometry Search Algorithm}, url = {http://arxiv.org/abs/q-bio.QM/0406002}, year = {2004} }

RIS record

TY - ELEC ID - citeulike:1543449 L3 - citeulike-article-id:1543449 TI - Open Mass Spectrometry Search Algorithm N2 - Large numbers of MS/MS peptide spectra generated in proteomics experiments require efficient, sensitive and specific algorithms for peptide identification. In the Open Mass Spectrometry Search Algorithm [OMSSA], specificity is calculated by a classic probability score using an explicit model for matching experimental spectra to sequences. At default thresholds, OMSSA matches more spectra from a standard protein cocktail than a comparable algorithm. OMSSA is designed to be faster than published algorithms in searching large MS/MS datasets. KW - omssa KW - peptide-identification KW - peptide-identification-statistics KW - proteomics KW - proteomics-software KW - tandem-mass-spectrometry AU - Geer, Lewis AU - Markey, Sanford AU - Kowalak, Jeffrey AU - Wagner, Lukas AU - Xu, Ming AU - Maynard, Dawn AU - Yang, Xiaoyu AU - Shi, Wenyao AU - Bryant, Stephen PY - 2004/Jun/01/ UR - http://arxiv.org/abs/q-bio.QM/0406002 ER -

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