Training programme

IMforFUTURE designed a multidisciplinary training program for omics researchers. They need to understand the basics of the measurement techniques (Module 1: chemistry), of the underlying mechanisms (Module 2: biology), of the design of studies (Module 2: epidemiology), and of the analysis of the data (Module 3: statistics, programming and machine learning). IMforFUTURE focusses on omics research in ageing. Finally researchers need to be trained in the principles of scientific integrity from FAIR data to open source science (Module 4).

Below for each of the modules the objectives and learning outcomes are given together with presentations on the various topics.

Module 1: Chemistry

Training plan

1.1 Glycoproteome measurements
1.2 Genomics and epigenetics measurements
1.3 Data pre-processing methods

Module 2: Biology and epidemiology

Training plan

2.1 Introduction to ageing: population genetics
2.2 Introduction to ageing: complex traits
2.3 Introduction to epigenetics
2.4 Introduction to glycobiology
2.5 Introduction to epidemiology

Module 3: Statistics, programming and machine learning

Training plan

3.1 Experimental design and basic statistics
3.2 Regression analysis
3.3 Missing data
3.4 Feature selection
3.5 Programming R and python – zipped folder
3.6 Git and github cheat sheet and gitlab cheat sheet
3.7 Network analysis

Module 4: Scientific integrity

Training plan

4.1 Data and analysis stewardship
4.2 GDPR and FAIR data
4.3 Perspectives around open science

Module 5: Commerce and entrepreneurship

5.1 Commerce and entrepreneurship – a personal story