Content Providers
Content provider type: Project
and Keywords: Cloud computing or EuPA or Genomics or data center or software-development
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CodeRefinery
CodeRefinery acts as a hub for FAIR (Findable, Accessible, Interoperable, and Reusable) software practices. It currently focuses on the Nordic/Baltic countries, but aims to expand beyond this region. CodeRefinery aims to operate as a community project with support from academic...
0 events (4 past events)CodeRefinery https://coderefinery.org/ https://tess.elixir-europe.org/content_providers/coderefinery CodeRefinery acts as a hub for FAIR (Findable, Accessible, Interoperable, and Reusable) software practices. It currently focuses on the Nordic/Baltic countries, but aims to expand beyond this region. CodeRefinery aims to operate as a community project with support from academic organizations. CodeRefinery provides: - For organizations: an opportunity to pool competence and offer more training and development opportunities than they could individually. - For volunteers and the team: a community around teaching and opportunity for skill development, both in pedagogy and practical skills. - For learners: a welcoming and useful environment for learning many necessary practical skills that may otherwise not be explicitly taught. This can be through courses, hackathons, and the like. /system/content_providers/images/000/000/639/original/d943f5d28a6cbba400.png?1645778483 -
Cloud-SPAN
Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project:
- Prenomics
- Genomics
- Create your own AWS...1 training materialCloud-SPAN https://cloud-span.york.ac.uk/ https://tess.elixir-europe.org/content_providers/cloud-span Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project: - Prenomics - Genomics - Create your own AWS instance - Metagenomics - Statistically useful experimental design - Automation & pipelines (WIP) - Core R (WIP) /system/content_providers/images/000/000/658/original/cloud-span-logo-square.png?1666085149