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
1.1 Glycoproteome measurements
1.2 Genomics and epigenetics measurements
1.3 Data pre-processing methods
Module 2: Biology and epidemiology
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
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
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