Journal of Proteome Research · 2006 · 20 citations · 14 references
Life SciencesBioinformaticsBiologyPhylogeneticsProteomicsProteomics InformaticsBottom-up ProteomicsCancer ProteomicsMass Spectrometry Data AnalysisMass Spectrometry-based ProteomicsMolecular PhylogenyPhylogenetic AnalysisData Analysis AlgorithmsData ParsingMass Spectrum InterpretationOutgroup ComparisonOutgroup DiscriminationPhylogenetic Analysis Of ProteinsPhylogenomic ClassificationProteomic Taxonomy
Phyloproteomics is a novel analytical tool that solves the issue of comparability between proteomic analyses, utilizes a total spectrum-parsing algorithm, and produces biologically meaningful classification of specimens. Phyloproteomics employs two algorithms: a new parsing algorithm (UNIPAL) and a phylogenetic algorithm (MIX). By outgroup comparison, the parsing algorithm identifies novel or vanished MS peaks and peaks signifying up or down regulated proteins and scores them as derived or ancestral. The phylogenetic algorithm uses the latter scores to produce a biologically meaningful classification of the specimens. Keywords: Cancer • dichotomous development • mass spectrometry • phylogenetics • phyloproteomics • proteomics • serum • transitional clades
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Use of proteomic patterns in serum to identify ovarian cancer
Emanuel F. Petricoin, Ali M. Ardekani, Ben A. Hitt et al. · The Lancet · 2002 · 3.3K citations
Medicine, Gynecology, Oncology +17