Metabolomics course in Berlin

[Physalia-courses]

Dear all,

we still have a few places left on our course "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?...kzgAAAAJ&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

Monday: 9:30 - 17:30

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

Group activity: design your study

Tuesday: 9:30 - 17:30

From zero to R

R and RStudio

Visualizing your data

Data carpentry (practical)

Multivariate visualization by PCA

Group discussion

Wednesday 9:30 - 17:30

Preprocessing of MS based untargeted metabolomics data

The pre-processing workflow

Let’s do it in R with xcms

Are my data OK?

Quality assessment

Outliers

Missing values and imputation

From Features to compounds … annotation

Group discussion: targeted vs untargeted metabolomics

Thursday 9:30 - 17:30

Let’s talk about Statistics

Univariate statistics

Introduction to statistical testing and modeling

Multiple testing

Multivariate statistics

Classification and regression

Model tuning and validation

PLS and RandomForest

Group Discussion

Friday 9:30 - 17:30

Putting Everything Together

Group Activity: running and presenting a full data analysis task from A to Z

Q&A: Open space for recap, clarifications, and open discussion

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

All the best, Carlo

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR

info@physalia-courses.org

http://www.physalia-courses.org/

Twitter: @physacourses

mobile: +49 17645230846

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