PROTEOMICS · 2009 · 15 citations · 15 references
Life SciencesBiochemistryBioinformaticsComputational BiologyProteomicsProteomics InformaticsMass Spectrometry Data AnalysisMass Spectrometry-based ProteomicsPeptide AnalysisPeptide IdentificationProtein Database SearchProtein IdentificationData Analysis AlgorithmsDatabase SearchingPeptide Database SearchPeptide Identification ScoringProtein Identification From Tandem Mass SpectrometryProteomic Data AnalysisSearch StrategiesSwiss Grid System
The identification and characterization of peptides from MS/MS data represents a critical aspect of proteomics. It has been the subject of extensive research in bioinformatics resulting in the generation of a fair number of identification software tools. Most often, only one program with a specific and unvarying set of parameters is selected for identifying proteins. Hence, a significant proportion of the experimental spectra do not match the peptide sequences in the screened database due to inappropriate parameters or scoring schemes. The Swiss protein identification toolbox (swissPIT) project provides the scientific community with an expandable multitool platform for automated in-depth analysis of MS data also able to handle data from high-throughput experiments. With swissPIT many problems have been solved: The missing standards for input and output formats (A), creation of analysis workflows (B), unified result visualization (C), and simplicity of the user interface (D). Currently, swissPIT supports four different programs implementing two different search strategies to identify MS/MS spectra. Conceived to handle the calculation-intensive needs of each of the programs, swissPIT uses the distributed resources of a Swiss-wide computer Grid (http://www.swing-grid.ch).
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TANDEM: matching proteins with tandem mass spectra
Robertson Craig, Ronald C. Beavis · Bioinformatics · 2004 · 2.6K citations · Full text