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Oct 31, 2024
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BINF 6318 - Computational Proteomics and Metabolomics Introduces commonly used computational algorithms, software tools, and databases for analyzing mass spectrometry-based proteomics and metabolomics data. Students learn how to: 1) implement algorithms for processing raw mass spectrometry data and extracting qualitative and quantitative information about proteins and metabolites; 2) align multiple datasets; 3) perform differential analysis of proteomics and metabolomics datasets; and 4) use commonly used protein and metabolite databases. Introduction of chromatography, mass spectrometry, and isotopic patterns of proteins and metabolites to provide background information for students to understand the nature of mass spectrometry data.
Credit Hours: (3) Prerequisite(s): BINF 6200 or equivalent.
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