THE COURSE IS CANCELLED DUE TO THE COVID TRAVEL RESTRICTIONS.
The course will be conducted as an in-person course if corona safety regulations permit it when the course takes place. Otherwise, the course will be converted to an online course and given on the stated dates.The course will provide a general overview of LC-MS based untargeted metabolomics from study design to results and will be exemplified with its specific application in nutrition. It will be delivered using a mixture of lectures, hands-on data preparation and analysis, computer-based practical sessions, and discussions. Visits to wet labs and instructions on human sample preparation procedures is included but with minimal hands-on.The students will go through common steps in a typical metabolomics study using a real-life case. This case study includes collected plasma (or urine) samples from a nutritional intervention. The sample preparation and analysis on UPLC-QTOF has been conducted and the students will further process and analyze the acquired data with various freeware tools (e.g. R, XCMS, MZmine etc). They will finally work on identification of relevant metabolites using several web-based structure elucidation tools. The course will conclude by presentations of reports generated by the students based on the case study.The course will be structured as initial short lectures on theory followed by hands-on exercises, which will teach the students to transfer the theoretical information to practice. The students should expect a fairly technical course with a strong focus on the hands-on data analysis abilities and data interpretation skills.
FeeNo fee for the PhD students under the Open Market in Denmark and NOVA partners (Nordic Countries).Other participants are to pay a course fee of 300 EUR. Each student must pay and arrange their own travel and accommodation in Copenhagen during the course.
The program can be downloaded here.For more information please contact Jan Stanstrup: jst@nexs.ku.dkDate of the exam is Friday 2nd of July 2021 from 09:00 to 12:00.
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