Showcasing involves presenting applied examples of handling infectious disease data to demonstrate successful strategies and methodologies that have been developed and used across different countries and domains. Showcases highlight best practices, encourage learning, and facilitate the adoption of proven techniques across both the public health and scientific communities.
Showcase
An automated, modular system for large-scale FAIR analysis of SARS-CoV-2 sequencing data analysis powered by the Galaxy platform.
Showcase
Development of an open source, semi-automated processing pipeline for aligning autoradiography images from mouse brain tissue to study infection-induced neuroinflammation funded by the ISIDORe project.
Showcase
Open source workflow integrating biological databases for FAIR data compliant Knowledge Graphs
Showcase
Here we describe the first example of linking and sharing a COVID-19, multi-omics cohort data set via the EMBL-EBI infrastructure.
Showcase
Insights and practical guidelines from the SARS-CoV-2 prevalence study in Estonia (2020-2023).
Showcase
Methodological framework for causal federated research based on real-world observational data sources across national borders
Showcase
Full-genomic sequencing and analysis of SARS-CoV-2 strains in Estonia during 2021-2022.
Showcase
A web portal that provides information about available datasets, resources, tools, and services related to pandemic preparedness in Sweden. We offer support to all those involved in pandemic preparedness research that are affiliated with a Swedish research institution or university.
Showcase
High scale publishing of infectious diseases data to ENA using easy to use metadata templates.
