Introduction to the Analysis of Population Proteomics & Metabolomics [EL020]
Course takes place in the afternoons. Assignment due 1 week after the course (workload 2-3 hours).
Prof. dr. Joyce van Meurs, Dr. Mohsen Ghanbari
This is a basic course targets a wide range of participants (students, epidemiologists, clinicians and molecular biologists) with a basic understanding of genetic epidemiology. There is no specific prerequisites for this course, but a relevant background of genetic epidemiology and basic familiarity with R are recommended.
- Genetic Epidemiology
Detailed information about this course:
This course aims to give an introduction to the analysis of proteomics and metabolomics data, two emerging approaches that help better understanding of molecular pathways and promise identification of novel biomarkers for complex diseases. The course offers an excellent introduction to these ‘omic’ topics and gives the opportunity to analyse example datasets.
The course targets a wide-range of participants, including students, epidemiologists, clinicians and molecular biologists with little background in genetic epidemiology. Participants are introduced to the basic principles of protein and metabolite profiling and association analyses at population level. The relevant background of genetic epidemiology and statistics is presented.
The course consists of two parts: theoretical lectures and practical assignments. The goal of the course is that participants are able to analyze and interpret the findings in modern population genetic and genomic research.
See 'how to apply' for the course registration period.
At the end of this course, students should be able to:
- Understand the fundamental concepts and principles relevant for analyzing proteomics and metabolomics data;
- Understand the technical background, quality control and normalization, analytical approaches, and applications of proteomics and metabolomics;
- Apply resources and current technology used in proteomics and metabolomics;
- Analyze and interpret datasets of population-based proteomics and metabolomics.
The course targets a wide range of participants, including students, epidemiologists, clinicians and molecular biologists with little background in genetic epidemiology.
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system. When submitting the application, you can state that someone else pays your tuition fee.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.