News:5-day course on Metabolomics in Berlin

Question

[carlopecoraro2]

Dear all,

We still have a few places left on our course "Metabolomics: from study design to data analysis"

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Dates: 25-29 November 2019

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Where: Free University of Berlin (Germnay)

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

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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.

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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.

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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.

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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

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

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Should you have any questions, please do not hesitate to contact us: [e-mail]

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All the best,
Carlo

Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[e-mail]
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