Passport is the glue between the researcher, data and computing

This month’s blog was written by Mikael Linden, Senior application specialist at CSC - IT Center for Science, and co-Work Package Lead of CINECA WP2 - Interoperable Authentication and Authorisation Infrastructure. This blog is the third in our GA4GH standards series, presenting an overview of how GA4GH standards are being developed and implemented by CINECA. For the first blog in the series, giving a broad overview of how CINECA is facilitating federated data discovery, access and analysis, please see Dylan Spalding’s blog Implementation of GA4GH standards in CINECA.

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Beacon cohorts: A model for cohort discovery in CINECA and beyond

This month’s blog was written by Lauren Fromont (CRG), a member of the EGA team at CRG and a member of CINECA WP1 - Federated Data Discovery and Querying. This blog is the second in our GA4GH standards series, presenting an overview of how GA4GH standards are being developed and implemented by CINECA.

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Useful ontologies for harmonizing cohort data

This video describes a community of practice for interoperable ontology building called the OBO Foundry, and highlights a number of well curated and maintained ontologies that are useful for annotating cohort data. The video is aimed at anyone interested in data standardization and/or the ontology approach (i.e. public, end users). No prerequisite knowledge is required, but viewers may also find our previous videos useful. This video is part of the CINECA online training series, where you can learn about concepts and tools relevant to federated analysis of cohort data.

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Applying data standards to the harmonization of COVID 19 datasets from different sources

This video describes how public health genomics has played a key role in international responses to the COVID-19 pandemic, and how data standards are being used to harmonize data across jurisdictions for Canadian COVID-19 surveillance and outbreak investigations. The video is aimed at anyone interested in data standardization and/or the ontology approach (i.e. public, end users). No prerequisite knowledge is required, but viewers may also find our previous videos useful. This video is part of the CINECA online training series, where you can learn about concepts and tools relevant to federated analysis of cohort data.

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Meta-analysis of splicing and expression QTLs across three cohorts D4.4

The CINECA project aims to develop a common infrastructure to support federated data analysis across national cohorts in Europe, Canada, and Africa. In this report, the progress made over the past four years is discussed, which involves the development of six modular workflows to quantify and normalize molecular traits, pre-process genotype data, and test for associations between molecular traits and genotypes. The approach improves on the previous state of the art by packaging software dependencies into Docker/Singularity containers, using the Nextflow language to orchestrate complex multi-step workflows, and using the HASE(1) framework to reduce the amount of data that needs to be transferred between cohorts. The project provides training materials and open access datasets to encourage adoption and demonstrates how the workflows can be used to perform federated analysis across multiple real cohorts located in Switzerland, Germany, the Netherlands, and Estonia.

https://doi.org/10.5281/zenodo.7464116

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