Genetic analysis of molecular traits such as gene expression, splicing and chromatin accessibility requires a number of complex analysis steps that can easily take weeks or months for an analyst to implement from scratch. In the CINECA project, we have developed a number of modular Nextflow workflows that standardise and automate these steps. In this webinar, we will give an overview of the CINECA workflows for genotype imputation, gene expression and splicing quantification, data normalisation and association testing, and demonstrate how these workflows can be used in a federated setting without transferring identifiable personal data between partners.

The CINECA (Common Infrastructure for National Cohorts in Europe, Canada, and Africa) project aims to develop a federated cloud enabled infrastructure to make population scale genomic and biomolecular data accessible across international borders, to accelerate research, and improve the health of individuals across continents.

About the speaker

Kaur Alasoo is a Lecturer of Bioinformatics at the University of Tartu. His research is focussed on genetic analysis of diverse molecular traits and building data resources to facilitate secondary use of molecular QTL datasets. Kaur is also a co-lead of the eQTL Catalogue project.