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pmid:25167464
Evaluation of proteomic search engines for the analysis of histone modifications.
Zuo-Fei Yuan · Shu Lin · Rosalynn C Molden · Benjamin A Garcia
Journal of proteome research · 2014 doi:10.1021/pr5008015
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Complete file
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To evaluate database search engines on identifying histone PTMs, we present a method in which one kind of modification is searched each time, for example, unmodified, individually modified, and multimodified, each search result is filtered with false discovery rate less than 1%, and the identifications of multiple search engines are combined to obtain confident results. We apply this method for eight search engines on histone data sets. We find that two search engines, pFind and Mascot, identify most of the confident results at a reasonable speed, so we recommend using them to identify histone modifications. During the evaluation, we also find some important aspects for the analysis of histone modifications. Our evaluation of different search engines on identifying histone modifications will hopefully help those who are hoping to enter the histone proteomics field. 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["PXD001118"], "resolved_accessions": ["PXD001118"], "statements": ["The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the data set identifier PXD001118 and DOI 10.6019/PXD001118."], "basis": "The paper names PXD001118 in ProteomeXchange Consortium via the PRIDE partner repository and the accession resolves in the repository. 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