NSCPHD1224 Introduction to nutritional metabolomics

Volume 2013/2014
Content

The course gives an introduction to the nutritional metabolomics pipeline from study design over sample collection, storage and analysis over data alignment and analysis using different softwares to data interpretation. A small training trial will be conducted during the course for the students to work on.

The couse plan will be posted at the NORDFOOD, SCIENCE, SYSDIET and NuGO homepages. This introductory course in nutritional metabolomics will take the student through all steps in a typical study. This will include study design considerations, sample collection and handling, spectroscopic techniques for metabolic profiling (LC-MS, GC-MS and NMR), analytical quality control, data collection and preprocessing, data alignment and processing, statistical data treatments, and interpretation of the final data outcomes.

A small training trial will be conducted during the course for the students to work on. This will lead students to go through common steps in a typical metabolomics study with hands-on training using the samples collected by the students during the course.

A major focus is on the use of various free or commercial softwares for data alignment, data analysis, and data interpretation with hands-on training based on a case with samples collected by the students during the course.

The course will finalize by presentations of reports generated by the students based on their own results from the case.

Learning Outcome

The aim of this course is to introduce the student to all phases in a nutritional metabolomics study and to train the student in the use of available softwares for data handling and data analysis. Specific aims include:

1) to teach how study design affects sample and data handling

2) to teach the most common free softwares for working with metabolomics data and nutritional bioinformatics

3) To teach common strategies for marker identification

Literature
A list of references to be read prior to the course will be sent to the participants.
The couse will use a mixture of lectures, exercises and training with data generated by the students during the course.
  • Category
  • Hours
  • Lectures
  • 18
  • Preparation
  • 35
  • Project work
  • 12
  • Theory exercises
  • 12
  • Total
  • 77
Credit
3 ECTS
Type of assessment
Other
Oral presentation of results.
Marking scale
completed/not completed
Censorship form
No external censorship
Re-exam
Personal agreement with the course responsible.