BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260825T202804Z
UID:66d36e87-9af0-432a-8a92-229636d89b6e
DTSTART:20221110T090000Z
DTEND:20221110T170000Z
DESCRIPTION: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 fr
 om scratch. In the CINECA project\, we have developed a number of modular 
 Nextflow workflows that standardise and automate these steps. In this webi
 nar\, we will give an overview of the CINECA workflows for genotype imputa
 tion\, gene expression and splicing quantification\, data normalisation an
 d association testing\, and demonstrate how these workflows can be used in
  a federated setting without transferring identifiable personal data betwe
 en partners.\n\nThe CINECA (Common Infrastructure for National Cohorts in 
 Europe\, Canada\, and Africa) project aims to develop a federated cloud en
 abled infrastructure to make population scale genomic and biomolecular dat
 a accessible across international borders\, to accelerate research\, and i
 mprove the health of individuals across continents.\n\n### **About the spe
 aker**\n\nKaur 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 molecula
 r QTL datasets. Kaur is also a co-lead of the eQTL Catalogue project.
LOCATION:\, 
SUMMARY:Modular and reproducible workflows for federated molecular QTL anal
 ysis
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/modular-and-reproducibl
 e-workflows-federated-molecular-qtl-analysis
END:VEVENT
END:VCALENDAR