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  • Metabolomics course in Berlin

    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: [email protected]

    All the best, Carlo

    Carlo Pecoraro, Ph.D

    Physalia-courses DIRECTOR

    [email protected]

    Physalia-courses provides scientific training courses and Workshops in Bioinformatics, Genomics, and related fields, promoting the transfer of new methods and emerging techniques to a broad range of researchers. Our goal is to build a knowledge-sharing platform between highly qualified instructors and participants at various stages of their scientific and academic careers (e.g. Ph.D. students, post-doctoral researchers, PIs).


    Twitter: @physacourses

    mobile: +49 17645230846

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