Introduction to the Analysis of Population Epigenomics & Transcriptomics [EL034]
Course highlights
EC points
0.7
Start date
22-05-2023
End date
26-05-2023
Course days
Course takes place in the mornings. Assignment due 1 week after the course (workload 2-3 hours).
Faculty
Prof. Dr. Joyce van Meurs, Dr. Mohsen Ghanbari, Dr. Janine Felix
Course fee
€ 490
Location
Hybrid
Level
Intermediate
Prerequisites
Basic understanding of genetic epidemiology and statistics.
Basic familiarity with R is useful for the practicals, but not needed for the course.
Disciplines
- Genetic Epidemiology
Application
How to applyDownloads
Detailed information about this course:
Description
This course aims to give an introduction into the analysis and interpretation of epigenomics and transcriptomics data in the setting of population-based studies. We will introduce both types of omics and discuss their technical background, quality control and normalization, analytical approaches, interpretation of results and follow-up analyses.
The course will include short practical sessions during which course participants can learn to with epigenomic and transcriptomic data using R.
Objectives
To familiarize participants with the basic concepts relevant for analyzing and interpreting epigenomic and transcriptomic data in population studies.
Participant profile
Researchers in the fields of epidemiology, (population) genetics, biostatistics, molecular biology, clinicians with an interest in epigenetic research.
Assessment
Assignment(s), Attendance
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.
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.