Detailed information about the course

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Title

Metabolomics for life and health scientists

Dates

3-4 December 2018

Lang EN Workshop language is English
Responsable de l'activité

Ioannis Xenarios

Organizer(s)

Dr Grégoire Rossier, Vital-IT
Dr Florence Mehl, Vital-IT

Speakers
Description

In this 2-day course we aim at detailing state-of-the-art advancement of metabolomics, which represents a powerful approach and an alternative to the classical other omics. It represents a better phenotypic picture by reflecting the biochemical activity of the cells. This course will provide an overview of handling metabolomics data (from rawdata to biological knowledge) using bioinformatics tools. It will be delivered using a mixture of lectures, computer-based practical sessions and interactive discussions.

Program

Programme

Monday 3 December

9h00 - 10h30 Introduction to metabolomics (Julijana Ivanisevic)
10h30 - 11h00 Coffee break
11h00 - 12h30 MS based metabolomics analysis (Hector Gallart-Ayala)
12h30 - 14h00 Lunch
14h00 - 15h30 Statistical multivariate analysis (Julien Boccard)
15h30 - 16h00 Coffee break
16h00 – 17h30 Data integration (Julien Boccard)

Tuesday 4 December

9h00 - 10h30 Pathway analysis - Metexplore (Fabien Jourdan)
10h30 - 11h00 Coffee break
11h00 - 12h30 Pathway analysis - Metexplore (Fabien Jourdan)
12h30 - 14h00 Lunch
14h00 - 16h30 Presentation of case studies

Overview

We aim at detailing state-of-the-art advancement of metabolomics, which represents a powerful approach and an alternative to the classical other omics. It represents a better phenotypic picture by reflecting the biochemical activity of the cells. This course will provide an overview of typical workflow of metabolomics experiment (from data to biological knowledge).

Audience

This course is addressed mainly to PhD students and postdocs.

Learning objectives

At the end of the course, the participants are expected to be able to:

  • design their MS based metabolomics experiments;
  • analyse and interpret LC-MS metabolomics data;
  • understand and discuss current trends and challenges in metabolomics

Prerequisites

Knowledge / competencies

Although not required, basic knowledge of mass spectrometry, analytical chemistry, and statistics is a plus.

Application

The registration fees for academics are 120 CHF. This includes course content material and coffee breaks. Participants from non-academic institutions should contact us before application.

Deadline for registration and free-of-charge cancellation is set is set to 23/11/2018. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.

You will be informed by email of your registration confirmation.

Venue and Time

University of Lausanne. The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants on due time.

Location

UNIL, probably Génopode (more information in due time)

Information

This course is co-organised by the CUSO/StarOmics doctoral program. Priority is given to its members, but is open to everyone.

Additional information

Coordination: Grégoire Rossier (Vital-IT), Florence Mehl (Vital-IT) and Corinne Dentan (CUSO/Staromics).

For more information, please contact training@sib.swiss

Expenses

CUSO PhD students: free of charge

*academic: 120 CHF - for-profit: 600 CHF

*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.

Registration

CUSO PhD students: through your MyCUSO account. External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of page and the last gray box "non-CUSO student" ("personne hors myCUSO").

Places

30

Deadline for registration 23.11.2018
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