To foster international participation, 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.
Introduction to Metabolomics
What is metabolomics? (targeted and untargeted)
Why metabolomics?
Study design considerations
Analytical chemistry in metabolomics
Integrating data analysis and data collection
Data sharing and reproducibility
Group activity: Design your study
From Zero to R
Introduction to R and RStudio
Visualizing your data
Data carpentry (practical session)
Multivariate visualization using PCA
Untargeted Metabolomics
Preprocessing of MS-based untargeted metabolomics data
The pre-processing workflow
Hands-on: Data preprocessing in R with xcms
Quality assessment: Are my data OK?
Handling missing values and imputation
From features to compounds: Annotation
Analyzing a Metabolomics Data Matrix
Univariate approach: Introduction to statistical testing and modeling
Multiple testing correction
Multivariate approaches: PCA, PLS, Random Forest
Cancellation Policy:
> 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.