Open Mass Spectrometry Search Algorithm
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 mat...
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creator | Geer, Lewis Y Markey, Sanford P Kowalak, Jeffrey A Wagner, Lukas Xu, Ming Maynard, Dawn M Yang, Xiaoyu Shi, Wenyao Bryant, Stephen H |
description | 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. |
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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.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Algorithms ; Ions ; Mass spectrometry ; Model matching ; Proteins ; Proteomics ; Scientific imaging ; Search algorithms ; Spectra ; Spectroscopy</subject><ispartof>arXiv.org, 2004-06</ispartof><rights>Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at http://arxiv.org/abs/q-bio/0406002.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,784</link.rule.ids></links><search><creatorcontrib>Geer, Lewis Y</creatorcontrib><creatorcontrib>Markey, Sanford P</creatorcontrib><creatorcontrib>Kowalak, Jeffrey A</creatorcontrib><creatorcontrib>Wagner, Lukas</creatorcontrib><creatorcontrib>Xu, Ming</creatorcontrib><creatorcontrib>Maynard, Dawn M</creatorcontrib><creatorcontrib>Yang, Xiaoyu</creatorcontrib><creatorcontrib>Shi, Wenyao</creatorcontrib><creatorcontrib>Bryant, Stephen H</creatorcontrib><title>Open Mass Spectrometry Search Algorithm</title><title>arXiv.org</title><description>Large numbers of MS/MS peptide spectra generated in proteomics experiments require efficient, sensitive and specific algorithms for peptide identification. 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subjects | Algorithms Ions Mass spectrometry Model matching Proteins Proteomics Scientific imaging Search algorithms Spectra Spectroscopy |
title | Open Mass Spectrometry Search Algorithm |
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