PLoS ONE · 2012 · 24 citations · 14 references
EngineeringMolecular BiologyBioinformatics DatabaseMass Spectrometry IdentificationsData ScienceMass Spectrometry ExperimentsProteogenomic ApproachesBiostatisticsBiological Network VisualizationProteomicsBiological DatabaseOmicsComputational Mass SpectrometryFunctional GenomicsBioinformaticsOmics DatasetsComputational BiologyMass SpectrometryGenome Browser VisualizationsSystems BiologyMedicine
Proteogenomic approaches have gained increasing popularity, however it is still difficult to integrate mass spectrometry identifications with genomic data due to differing data formats. To address this difficulty, we introduce iPiG as a tool for the integration of peptide identifications from mass spectrometry experiments into existing genome browser visualizations. Thereby, the concurrent analysis of proteomic and genomic data is simplified and proteomic results can directly be compared to genomic data. iPiG is freely available from https://sourceforge.net/projects/ipig/. It is implemented in Java and can be run as a stand-alone tool with a graphical user-interface or integrated into existing workflows. Supplementary data are available at PLOS ONE online.
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