This course covers the fundamentals of metabolomics, including software for metabolite identification and quantification, databases for chemical and spectral data, statistical methods, metabolomic data analysis using MetaboAnalyst, and data integration. The course aims to teach students the necessary skills to analyze metabolomic data effectively. The teaching method includes lectures and hands-on practice. This course is intended for individuals interested in metabolomics, bioinformatics, or data analysis.
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
