Calibrating E-values for MS<sup>2 </sup>database search methods
<p>Abstract</p> <p>Background</p> <p>The key to mass-spectrometry-based proteomics is peptide identification, which relies on software analysis of tandem mass spectra. Although each search engine has its strength, combining the strengths of various search engines is not...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2007-11-01
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| Series: | Biology Direct |
| Online Access: | http://www.biology-direct.com/content/2/1/26 |
| _version_ | 1818393289924018176 |
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| author | Shen Rong-Fong Wang Guanghui Wu Wells W Ogurtsov Aleksey Y Alves Gelio Yu Yi-Kuo |
| author_facet | Shen Rong-Fong Wang Guanghui Wu Wells W Ogurtsov Aleksey Y Alves Gelio Yu Yi-Kuo |
| author_sort | Shen Rong-Fong |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>The key to mass-spectrometry-based proteomics is peptide identification, which relies on software analysis of tandem mass spectra. Although each search engine has its strength, combining the strengths of various search engines is not yet realizable largely due to the lack of a unified statistical framework that is applicable to any method.</p> <p>Results</p> <p>We have developed a universal scheme for statistical calibration of peptide identifications. The protocol can be used for both <it>de novo </it>approaches as well as database search methods. We demonstrate the protocol using only the database search methods. Among seven methods -SEQUEST (v27 rev12), ProbID (v1.0), InsPecT (v20060505), Mascot (v2.1), X!Tandem (v1.0), OMSSA (v2.0) and RAId_DbS – calibrated, except for X!Tandem and RAId_DbS most methods require a rescaling according to the database size searched. We demonstrate that our calibration protocol indeed produces unified statistics both in terms of average number of false positives and in terms of the probability for a peptide hit to be a true positive. Although both the protocols for calibration and the statistics thus calibrated are universal, the calibration formulas obtained from one laboratory with data collected using either centroid or profile format may not be directly usable by the other laboratories. Thus each laboratory is encouraged to calibrate the search methods it intends to use. We also address the importance of using spectrum-specific statistics and possible improvement on the current calibration protocol. The spectra used for statistical (<it>E</it>-value) calibration are freely available upon request.</p> <p>Open peer review</p> <p>Reviewed by Dongxiao Zhu (nominated by Arcady Mushegian), Alexey Nesvizhskii (nominated by King Jordan) and Vineet Bafna. For the full reviews, please go to the Reviewers' comments section.</p> |
| first_indexed | 2024-12-14T05:42:57Z |
| format | Article |
| id | doaj.art-afb29d043c16402f8fef6fdfd9f51649 |
| institution | Directory Open Access Journal |
| issn | 1745-6150 |
| language | English |
| last_indexed | 2024-12-14T05:42:57Z |
| publishDate | 2007-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Biology Direct |
| spelling | doaj.art-afb29d043c16402f8fef6fdfd9f516492022-12-21T23:14:58ZengBMCBiology Direct1745-61502007-11-01212610.1186/1745-6150-2-26Calibrating E-values for MS<sup>2 </sup>database search methodsShen Rong-FongWang GuanghuiWu Wells WOgurtsov Aleksey YAlves GelioYu Yi-Kuo<p>Abstract</p> <p>Background</p> <p>The key to mass-spectrometry-based proteomics is peptide identification, which relies on software analysis of tandem mass spectra. Although each search engine has its strength, combining the strengths of various search engines is not yet realizable largely due to the lack of a unified statistical framework that is applicable to any method.</p> <p>Results</p> <p>We have developed a universal scheme for statistical calibration of peptide identifications. The protocol can be used for both <it>de novo </it>approaches as well as database search methods. We demonstrate the protocol using only the database search methods. Among seven methods -SEQUEST (v27 rev12), ProbID (v1.0), InsPecT (v20060505), Mascot (v2.1), X!Tandem (v1.0), OMSSA (v2.0) and RAId_DbS – calibrated, except for X!Tandem and RAId_DbS most methods require a rescaling according to the database size searched. We demonstrate that our calibration protocol indeed produces unified statistics both in terms of average number of false positives and in terms of the probability for a peptide hit to be a true positive. Although both the protocols for calibration and the statistics thus calibrated are universal, the calibration formulas obtained from one laboratory with data collected using either centroid or profile format may not be directly usable by the other laboratories. Thus each laboratory is encouraged to calibrate the search methods it intends to use. We also address the importance of using spectrum-specific statistics and possible improvement on the current calibration protocol. The spectra used for statistical (<it>E</it>-value) calibration are freely available upon request.</p> <p>Open peer review</p> <p>Reviewed by Dongxiao Zhu (nominated by Arcady Mushegian), Alexey Nesvizhskii (nominated by King Jordan) and Vineet Bafna. For the full reviews, please go to the Reviewers' comments section.</p>http://www.biology-direct.com/content/2/1/26 |
| spellingShingle | Shen Rong-Fong Wang Guanghui Wu Wells W Ogurtsov Aleksey Y Alves Gelio Yu Yi-Kuo Calibrating E-values for MS<sup>2 </sup>database search methods Biology Direct |
| title | Calibrating E-values for MS<sup>2 </sup>database search methods |
| title_full | Calibrating E-values for MS<sup>2 </sup>database search methods |
| title_fullStr | Calibrating E-values for MS<sup>2 </sup>database search methods |
| title_full_unstemmed | Calibrating E-values for MS<sup>2 </sup>database search methods |
| title_short | Calibrating E-values for MS<sup>2 </sup>database search methods |
| title_sort | calibrating e values for ms sup 2 sup database search methods |
| url | http://www.biology-direct.com/content/2/1/26 |
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