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

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 apply

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 RESEARCH MASTERS (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.

Please note that 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.