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Strategy for protein isoform identification from expressed sequence tags and its application to peptide mass fingerprinting
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2001
Year
Structural BioinformaticsMolecular BiologySequence AlignmentProtein Isoform IdentificationMeaningful IsoformsSequence TagsProteomicsBiochemistrySequence AnalysisProtein Structure PredictionProtein IsoformsFunctional GenomicsBioinformaticsProtein BioinformaticsStructural BiologyNatural SciencesPeptide LibraryMass SpectrometryComputational BiologyProtein Mass SpectrometrySystems BiologyMedicineMass Fingerprinting
Expressed Sequence Tags (ESTs) are an invaluable resource for protein identification and characterisation in proteomics. They allow proteins to be identified in the absence of genome sequence data. When EST sequences are used for protein identification, they are usually first processed into contigs to reduce redundancy and generate longer sequences from the overlapping ESTs. However, the process of generating contigs may accidentally group biologically meaningful isoforms together. Here we report means of discovering isoforms in EST sequences and how to use this information in the framework of protein identification and characterisation with peptide mass fingerprinting. We illustrate our strategies with examples from the dbEST database as well as protein isoforms from two-dimensional polyacrylamide gels.