The amount of data produced within most omics fields, like transcriptomics, proteomics and metabolomics, is enormous. Together with the complexity of the data this makes handling of omics data not a simple task. This seminar will cover several data analysis related topics that are of importance in the field of metabolomics. Next to different multivariate data analysis approaches, related topics like experimental design and data preprocessing will be discussed. The seminar consists of a theoretical and a practical part. In the theoretical part of the seminar multivariate statistical methods are introduced and illustrated by practical examples from the Analytical Biosciences department. In the practical part all participants will apply the tools from the theoretical part to real metabolomics data using available statistical software.
T.H. Reijmers, PhD, Division of Analytical Biosciences, LACDR, tel. 071-527 4509; email: firstname.lastname@example.org
Students of Bio-Pharmaceutical Sciences and students of other study programmes with sufficients skills and knowledge in the field of metabolomics or related disciplines.
(Basic) knowledge of statistics.
Study materials will be handed out during the course
minimal amount of students
Minimum of 5 students
2—13 May. See roster for details.
Secretarial office of the Division of Analytical Biosciences, LACDR, tel. 071-527 4220; email: email@example.com