Metabolomics: from study design to data analysis

Dates

25-29 November 2019

Where

Free University of Berlin (Germnay)

Instructor

Dr. Pietro Franceschi (https://scholar.google.it/citations?user=6PlKkzgAAAAJ&hl=en)

OVERVIEW

The aim of the course is to cover some of the fundamental aspects of metabolomics from the “data analyst” point of view. The aim is to 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.

Prerequisites

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.

Outcomes

The objective of the course is to make the participants familiar with metabolomics and, in particular, to data analysis of metabolomics data (targeted and untargeted). The course will also constitute an excellent primer to the application of univariate and multivariate statistics to complex datasets of chemical origin.

Programme: https://www.physalia-courses.org/courses-workshops/course54/curriculum54/

Full list of our courses and Workshops: https://www.physalia-courses.org/courses-workshops

Should you have any questions, please do not hesitate to contact us: info@physalia-courses.org

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