Content Providers
Content provider type: Project
and Keywords: Cancer or EXCELERATE or EeLP or Genomics or MOOC or Protein secondary structure or Synthetic biology or infrastructure or metabolites or metabolome 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://86.50.28.174/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 -
Open Science MOOC
Open Science MOOC is a mission-driven project to help make ‘Open’ the default setting for all global research. We want to help create a welcoming and supporting community, with good tools, teachers, and role-models, and built upon a solid values-based foundation of freedom and equitable access to...
1 training materialOpen Science MOOC https://opensciencemooc.eu/ https://86.50.28.174/content_providers/open-science-mooc Open Science MOOC is a mission-driven project to help make ‘Open’ the default setting for all global research. We want to help create a welcoming and supporting community, with good tools, teachers, and role-models, and built upon a solid values-based foundation of freedom and equitable access to research. /system/content_providers/images/000/000/101/original/31343113?1536821365 -
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 -
EOSC4Cancer
EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via...
1 training material0 events (1 past event)EOSC4Cancer https://eosc4cancer.eu/ https://tess.elixir-europe.org/content_providers/eosc4cancer EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via community-driven analysis environments. EOSC4Cancer’s well curated data sets will be essential input for reproducible and robust analytics and computational methods – including machine learning and artificial intelligence. EOSC4Cancer’s five use cases will cover the patient journey from cancer prevention over diagnosis to treatment, laying the foundation of data trajectories and workflows for future European Cancer Mission projects. /system/content_providers/images/000/000/747/original/Logo-eosc-cancer-RGB-horizontal-STANDARD.png?1711439233