We are thrilled to announce the support for running Snakemake workflows on REANA reproducible analysis platform, starting from the REANA 0.8.0 release. Snakemake joins CWL and Yadage as another complete workflow definition language that REANA users can use to run their analysis workflows.

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We are glad to announce the release of REANA 0.8.0, a major update allowing users to run Snakemake workflows, allowing administrators to set and monitor CPU and Disk quotas for users, and more!

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We are glad to announce the release of REANA 0.7.4, a minor update allowing users and cluster administrators to specify memory limits for workflow jobs running on the Kubernetes compute backend platform. The release also improves the REANA client functionality for workflow parameter validation and contains other minor improvements and bug fixes.

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We are happy to announce REANA 0.7.3. This minor bug fix release adds new reana-client validation features for workflow input parameters and environment images, improves cluster resilience in case of job failures, and fixes HTCondor and Slurm integration for complex job commands. What’s new? Validating workflow parameters Computational workflows often contain tens of input parameters. It may be hard to keep track of which parameters are being used in the multiple steps a workflow has. Read more

The usual way of running REANA workflows is by means of the command-line interface (CLI) client. In this blog post, we present a step-by-step guide on how to use the Python API instead. This way of interacting with REANA platform can be useful if you would like to integrate REANA workflow submissions with your Python application or simply use your programmable Python environment instead of the command line.

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