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Apr 19, 2024
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BINF 8318 - 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. Also introduces chromatography, mass spectrometry, and isotopic patterns of proteins and metabolites to provide background information for understanding the nature of mass spectrometry data.
Credit Hours: (3)
Prerequisite(s): BINF 8200 or equivalent.
Most Recently Offered (Day): Course has not been offered at this time in the past 3 years
Most Recently Offered (Evening): Course has not been offered at this time in the past 3 years
Schedule of Classes
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