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It helps researchers to structure their input data, analysis\ncode, containerised environments and computational workflows so that the\nanalysis can be instantiated and run on remote compute clouds.\n\nREANA was born to target the use case of particle physics analyses, but is\napplicable to any scientific discipline. The system paves the way towards\nreusing and reinterpreting preserved data analyses even several years after the\noriginal publication.\n\n## Features\n\n- structure research data analysis in reusable manner\n- instantiate computational workflows on remote clouds\n- rerun analyses with modified input data, parameters or code\n- support for several compute clouds (Kubernetes/OpenStack)\n- support for several workflow specifications (CWL, Serial, Yadage, Snakemake)\n- support for several shared storage systems (Ceph)\n- support for several container technologies (Docker)\n\n## Getting started\n\nYou can\n[install REANA locally](https://docs.reana.io/administration/deployment/deploying-locally/),\n[deploy it at scale on premises](https://docs.reana.io/administration/deployment/deploying-at-scale/)\n(in about 10 minutes) or use \u003chttps://reana.cern.ch\u003e. Once the system is ready,\nyou can follow the guide to run\n[your first example](https://docs.reana.io/getting-started/first-example/). For\nmore in depth information visit the\n[official REANA documentation](https://docs.reana.io/).\n\n## Community\n\n- Discuss [on Forum](https://forum.reana.io/)\n- Follow us [on Twitter](https://twitter.com/reanahub)\n- Collaborate [on GitHub](https://github.com/reanahub)\n\n## Useful links\n\n- [REANA home page](http://www.reana.io/)\n- [REANA documentation](http://docs.reana.io/)\n- [REANA on DockerHub](https://hub.docker.com/u/reanahub/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freanahub%2Freana","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Freanahub%2Freana","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freanahub%2Freana/lists"}