Events

On this page we share the latest Events, both posted by us and our Partners.

  Partner Events     Past Events

GHGA Events

The de.NBI & ELIXIR-DE and GHGA Knowledge Series: Galaxy for human health data

Join our webinar and discover Galaxy's usability boost! New tools like Flexynesis and CELLxGENE simplify multi-omics data exploration and link directly to cloud storage.

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GHGA Lecture Series: Gunnar Rätsch (virtual)

Gunnar Rätsch from ETH Zürich will talk about "MetaGraph and its application to collections of human sequencing data". Register now!

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Workshop: Safeguarding Sensitive Information and Elevating Data Security

Struggling with sensitive human data? Join de.NBI, ELIXIR-DE, and GHGA for hands-on training to secure sensitive human data and ensure GDPR compliance.

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Partner Events

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Past GHGA Events

GHGA Webinar: Interpretation of Results from Biostatistics

Struggling with interpreting statistical results? Join our next webinar on Interpretation of Results from Biostatistics.

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GHGA Lecture Series: Peter Robinson (virtual)

Peter Robinson from The Jackson Laboratory (JAX), presented "The Phenopacket schema: an open standard for sharing disease and phenotype information". Watch it now!

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GHGA Workshop at GfH meeting

GHGA is going to participate at the GfH conference (German Society for Human Genetics) and will organize a workshop titled “The German Human Genome-Phenome Archive (GHGA): Best practice examples for shared genome data usage”.

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GHGA Lecture Series: Christoph Schickhardt (virtual)

Christoph Schickhardt from the National Center for Tumor Diseases Heidelberg (NTC) will talk about "A standardized broad consent for long-term secondary use of health data and biosamples". Watch it now!

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GHGA Webinar: A Beginner's Guide to Galaxy

Have heard of Galaxy - the open source, web-based platform for data intensive biomedical research? Tune in to our webinar to learn what it does, which tools it provides and how it can help your research!

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GHGA Webinar: FAIR in biomedical research

In this webinar we will give you an introduction to what it takes to make data in this field Findable, Accessible, Interoperable and Reproducible - and how the FAIR principles can be implemented.

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