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: GHGA Data Access: A Guide to Legal Roles and Rules

Join our webinar on GHGA Data Access Request process and learn how to navigate legal roles and master best practices on data access.

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The de.NBI & ELIXIR-DE and GHGA Knowledge Series: Reproducible and Scalable Workflows with Nextflow

Join our webinar to master Nextflow! Learn to build reproducible, cloud-scalable workflows that eliminate pipeline chaos and accelerate your research.

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GHGA Annual Meeting 2026

Mark your calendars for 03-05 November 2026 in Heidelberg! GHGA spokespersons, team members, and our Scientific Advisory Board will come together to celebrate achievements, share updates, and plan future work.

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Partner Events

No news available.

Past GHGA Events

Webinar: Exploring Challenges and Benefits of Metagenomics

Learn how metagenomics and metatranscriptomics have revolutionized our understanding of microbial communities, by allowing us to studying them without culturing individual organisms.

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GHGA Lecture Series: Lorenz Grigull (virtual)

Lorenz Grigull from the Center for Rare Diseases at the Bonn University Hospital talked about "The Path to Diagnosis, Misdiagnoses, and Pattern Recognition in Medicine" at the GHGA lecture series. Watch it now!

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GHGA Lecture Series: Alexander Sczyrba (virtual)

Alexander Sczyrba from the University Bielefeld talked about „"The de.NBI Cloud - Computing for Life Sciences". Watch it now!

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GHGA Lecture Series: Michael Baudis (virtual)

Michael Baudis from the University of Zurich talked about "Federated genomic discoveries: Deploying the GA4GH Beacon protocol". Watch it now!

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nf-core hackathon local hub event

Join us for the nf-core hackathon in Heidelberg. GHGA is pleased to host the local hub event to connect the community and spending three days hacking all things nf-core.

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Webinar: Data Visualisation in R and Python

Join us for a practical introduction to Data Visualisation using R and Python.

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