dorsal/arxiv
View SchemaOpen Mass Spectrometry Search Algorithm
| Authors | Lewis Y. Geer, Sanford P. Markey, Jeffrey A. Kowalak, Lukas Wagner, Ming Xu, Dawn M. Maynard, Xiaoyu Yang, Wenyao Shi, Stephen H. Bryant |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0406002 |
| URL | https://arxiv.org/abs/q-bio/0406002 |
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.
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"date_created": "2026-03-02T18:01:31.026000Z",
"date_modified": "2026-03-02T18:01:31.026000Z",
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"record": {
"abstract": "Large numbers of MS/MS peptide spectra generated in proteomics experiments\nrequire efficient, sensitive and specific algorithms for peptide\nidentification. In the Open Mass Spectrometry Search Algorithm [OMSSA],\nspecificity is calculated by a classic probability score using an explicit\nmodel for matching experimental spectra to sequences. At default thresholds,\nOMSSA matches more spectra from a standard protein cocktail than a comparable\nalgorithm. OMSSA is designed to be faster than published algorithms in\nsearching large MS/MS datasets.",
"arxiv_id": "q-bio/0406002",
"authors": [
"Lewis Y. Geer",
"Sanford P. Markey",
"Jeffrey A. Kowalak",
"Lukas Wagner",
"Ming Xu",
"Dawn M. Maynard",
"Xiaoyu Yang",
"Wenyao Shi",
"Stephen H. Bryant"
],
"categories": [
"q-bio.QM"
],
"title": "Open Mass Spectrometry Search Algorithm",
"url": "https://arxiv.org/abs/q-bio/0406002"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "dd0ff49c-6493-4ff6-ac4a-15f6a4c86fa4",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
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