Informatics and Statistics for Metabolomics
May 27 - May 28
Using high-throughput technologies, life science researchers can identify and characterize all the small molecules or metabolites in a given cell, tissue, or organism. The CBW course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Hands-on practical tutorials using various data sets and tools will assist participants in learning metabolomics analysis techniques.
Participants will gain practical experience and skills to be able to:
• Design appropriate metabolome-focused experiments
• Understand the advantages and limitations of metabolomic data analysis
• Devise an appropriate bioinformatics workflow for processing and analyzing metabolomic data • Apply appropriate statistics to undertake rigorous data analysis
• Visualize datasets to gain intuitive insights into the composition and/or activity of their metabolome