Explore the field of metabolomics through this comprehensive 9-hour course covering essential topics such as metabolite identification, quantification, and data analysis. Gain a solid foundation with an introduction to metabolomics before delving into specialized software tools for metabolite identification and quantification. Learn about databases for chemical, spectral, and biological data, and receive a backgrounder in statistical methods crucial for metabolomics research. Master data analysis techniques using MetaboAnalyst, and explore data integration, practical applications, and future trends in the field of metabolomics.
Overview
Syllabus
Introduction to Metabolomics.
Software for Metabolite ID & Quantification Part 1.
Metabolite Identification & Annotation Part 2.
Databases for Chemical, Spectral and Biological Data.
Backgrounder in Statistical Methods.
Metabolomic Data Analysis using MetaboAnalyst.
Data Integration, Applications and the Future of Metabolomics.
Taught by
BioinformaticsDotCA
