Providing open and unrestricted access to mass spectrometry-based proteomics data offers researchers the ability to cross-compare their findings with previously conducted experiments. This thesis describes the implementation of ProteomicsDB, a versatile and performant database to store and analyze proteomics as well as transcriptomics data. ProteomicsDB was used to assemble and analysis a first draft of the human proteome. Based on this dataset, a novel protein false discovery estimation strategy designed for big data was developed.
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Providing open and unrestricted access to mass spectrometry-based proteomics data offers researchers the ability to cross-compare their findings with previously conducted experiments. This thesis describes the implementation of ProteomicsDB, a versatile and performant database to store and analyze proteomics as well as transcriptomics data. ProteomicsDB was used to assemble and analysis a first draft of the human proteome. Based on this dataset, a novel protein false discovery estimation strateg...
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