Journal of the American Society for Mass Spectrometry · 2023 · 15 citations · 9 references
Life SciencesBiochemistryBioinformaticsProteomicsProteomics InformaticsSequence AnalysisBottom-up ProteomicsMass Spectrometry Data AnalysisMass Spectrometry-based ProteomicsPeptide AnalysisPeptide IdentificationProtein IdentificationData Analysis AlgorithmsDeconvolutionDeconvolution TechniquesMass Spectral Data AnalysisMass Spectrometry-based Protein IdentificationPeptide SequencingProtein Identification From Tandem Mass SpectrometryProteomic Data Analysis
Complex protein mixtures typically generate many tandem mass spectra produced by different peptides coisolated in the gas phase. Widely adopted proteomic data analysis environments usually fail to identify most of these spectra, succeeding at best in identifying only one of the multiple cofragmenting peptides. We present PatternLab V (PLV), an updated version of PatternLab that integrates the YADA 3 deconvolution algorithm to handle such cases efficiently. In general, we expect an increase of 10% in spectral identifications when dealing with complex proteomic samples. PLV is freely available at http://patternlabforproteomics.org.
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Ludovic Gillet, Pedro Navarro, Stephen Tate et al. · Molecular & Cellular Proteomics · 2012 · 3K citations · Full text
XDIA: improving on the label-free data-independent analysis
Paulo C. Carvalho, Xuemei Han, Tao Xu et al. · Bioinformatics · 2010 · 97 citations · Full text