14-17 November 2022
Due to the COVID-19 outbreak, this course will be held online
The aim of the course is to cover some of the fundamental aspects of metabolomics from the “data analyst” point of view. We will cover all the key aspects which have to be considered to set-up a successful metabolomics investigation, from the practical issues related to study/analytical design to data pre-processing and statistical analysis. The course will be delivered relying on a mixture of lectures, computer-based practical sections, and group discussions.
Familiarity with R will be assumed. A full day of the course will be however devoted to a fast introduction to data carpentry and visualization in R. A basic experience in metabolomics will be welcomed.
The objective of the course is to make participants familiar with the analysis analysis of metabolomic data (targeted and untargeted) in R. The course will also constitute an excellent primer to the application of univariate and multivariate statistics to complex datasets.
Monday:2-8 pm (Berlin
Metabolomics: what, why, how
What is metabolomics (targeted and untargeted)
Study design considerations
Analytical chemistry in metabolomics
Integrating Data Analysis and Data Collection
Data sharing and reproducibility
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.