Report on the Evaluation of Methods for Improving Comparability of Cross-Omics Data from Different Cohorts

The key scientific output of the EATRIS-Plus project is to develop a Multi-omic Toolbox available for researchers in order to have a better understanding of the molecular profiles in personalised medicine.
Within work packages 1, 2, and 3, we implement practices based on the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles to ensure reproducibility of our work and to make the multi-omics cohort data reusable for future translational research. The aim of this deliverable (D2.2) is to describe methods developed and applied to the Czech multi-omics cohort 1 that can improve comparability of data when integrating omics data from different sources. 

Integration of omics data from different sources can be challenging when data and data processing steps are not sufficiently annotated, or sources of biological and technical variation are unknown. The Czech multi-omics demonstrator cohort serves as a demonstrator for the development and application of computational workflows for omics preprocessing and integrative analyses.