GroupFilter: A software tool for efficient filtering of Morpheus search engine results
Morpheus is a search algorithm developed recently for high-resolution tandem mass spectra. According to the developers, its intrinsic property is discriminating short sequence length peptides. Therefore, elimination of direct comparisons between peptide spectrum matches (PSMs) for short and long pep...
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Veröffentlicht in: | Journal of analytical chemistry (New York, N.Y.) N.Y.), 2016-12, Vol.71 (13), p.1275-1279 |
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creator | Ivanov, M. V. Levitsky, L. I. Lobas, A. A. Gorshkov, M. V. |
description | Morpheus is a search algorithm developed recently for high-resolution tandem mass spectra. According to the developers, its intrinsic property is discriminating short sequence length peptides. Therefore, elimination of direct comparisons between peptide spectrum matches (PSMs) for short and long peptides may potentially increase the search sensitivity for a given FDR level. In the proposed approach, all PSMs are grouped according to the number of matched fragment ions, followed by separate filtering of identifications in each group using target-decoy approach. The approach is applied to Morpheus output results and does not cause a significant increase in the overall data analysis time. The proposed approach was implemented as a Python command-line tool, called GroupFilter. Several data sets from different types of mass spectrometers were used for testing of the software, including the data from the original Morpheus search engine paper. Separate FDR filtering for grouped identifications increased the number of identified peptides by up to 18% compared with the default Morpheus post-processing procedure. The proposed approach can be considered as an addition to the Morpheus search engine. |
doi_str_mv | 10.1134/S1061934816130074 |
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Several data sets from different types of mass spectrometers were used for testing of the software, including the data from the original Morpheus search engine paper. Separate FDR filtering for grouped identifications increased the number of identified peptides by up to 18% compared with the default Morpheus post-processing procedure. 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The approach is applied to Morpheus output results and does not cause a significant increase in the overall data analysis time. The proposed approach was implemented as a Python command-line tool, called GroupFilter. Several data sets from different types of mass spectrometers were used for testing of the software, including the data from the original Morpheus search engine paper. Separate FDR filtering for grouped identifications increased the number of identified peptides by up to 18% compared with the default Morpheus post-processing procedure. The proposed approach can be considered as an addition to the Morpheus search engine.</description><subject>Analysis</subject><subject>Analytical Chemistry</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Data analysis</subject><subject>Data search</subject><subject>Filtration</subject><subject>High resolution spectroscopy</subject><subject>Mass spectra</subject><subject>Mass spectrometry</subject><subject>Peptides</subject><subject>Protein metabolism</subject><subject>Proteomics</subject><subject>Search algorithms</subject><subject>Search engines</subject><subject>Software</subject><subject>Spectrometers</subject><issn>1061-9348</issn><issn>1608-3199</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kF9LwzAUxYsoOKcfwLeAz9WkSZrEtzF0ChMf_PNa0vRmy-iamqSI397OCQri0z1wfuceOFl2TvAlIZRdPRFcEkWZJCWhGAt2kE1IiWVOiVKHox7tfOcfZycxbjDGakQn2esi-KG_dW2CcI1mKHqb3nUAlLxvkfUBgbXOOOgSsl-U61bIW_TgQ7-GIaIIOpg1gm7lOkAB4tCmeJodWd1GOPu-0-zl9uZ5fpcvHxf389kyN5SxlCvOLVBtrJZFgwkGy4TkqiyZtZxCo6WQWnIqMIamMKIWTW1NzYniitdY02l2sf_bB_82QEzVxg-hGysrIiUWQjHMf6iVbqFynfUpaLN10VQzpkQpiqKgI0X2lAk-xgC26oPb6vBREVztRq7-jDxmin0m9rthIPzq_zf0CVmffVM</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Ivanov, M. 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According to the developers, its intrinsic property is discriminating short sequence length peptides. Therefore, elimination of direct comparisons between peptide spectrum matches (PSMs) for short and long peptides may potentially increase the search sensitivity for a given FDR level. In the proposed approach, all PSMs are grouped according to the number of matched fragment ions, followed by separate filtering of identifications in each group using target-decoy approach. The approach is applied to Morpheus output results and does not cause a significant increase in the overall data analysis time. The proposed approach was implemented as a Python command-line tool, called GroupFilter. Several data sets from different types of mass spectrometers were used for testing of the software, including the data from the original Morpheus search engine paper. 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source | Springer Nature - Complete Springer Journals |
subjects | Analysis Analytical Chemistry Chemistry Chemistry and Materials Science Data analysis Data search Filtration High resolution spectroscopy Mass spectra Mass spectrometry Peptides Protein metabolism Proteomics Search algorithms Search engines Software Spectrometers |
title | GroupFilter: A software tool for efficient filtering of Morpheus search engine results |
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