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• W2024668145 abstract "Mass spectrometry, the core technology in the field of proteomics, promises to enable scientists to identify and quantify the entire complement of proteins in a complex biological sample. Currently, the primary bottleneck in this type of experiment is computational. Existing algorithms for interpreting mass spectra are slow and fail to identify a large proportion of the given spectra. We describe a database search program called Crux that reimplements and extends the widely used database search program Sequest. For speed, Crux uses a peptide indexing scheme to rapidly retrieve candidate peptides for a given spectrum. For each peptide in the target database, Crux generates shuffled decoy peptides on the fly, providing a good null model and, hence, accurate false discovery rate estimates. Crux also implements two recently described postprocessing methods: a p value calculation based upon fitting a Weibull distribution to the observed scores, and a semisupervised method that learns to discriminate between target and decoy matches. Both methods significantly improve the overall rate of peptide identification. Crux is implemented in C and is distributed with source code freely to noncommercial users." @default.
• W2024668145 created "2016-06-24" @default.
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• W2024668145 date "2008-05-28" @default.
• W2024668145 modified "2023-09-27" @default.
• W2024668145 title "Rapid and Accurate Peptide Identification from Tandem Mass Spectra" @default.
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• W2024668145 doi "https://doi.org/10.1021/pr800127y" @default.
• W2024668145 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2667385" @default.
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