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Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 64,772 bioRxiv papers from 287,133 authors.

Summary: Making reproducible, auditable and scalable data-processing analysis workflows is an important challenge in the field of bioinformatics. Recently, software containers and cloud computing introduced a novel solution to address these challenges. They simplify software installation, management and reproducibility by packaging tools and their dependencies. In this work we implemented a cloud provider agnostic and scalable container orchestration setup for the popular Galaxy workflow environment. This solution enables Galaxy to run on and offload jobs to most cloud providers (e.g. Amazon Web Services, Google Cloud or OpenStack, among others) through the Kubernetes container orchestrator. Availability: All code has been contributed to the Galaxy Project and is available (since Galaxy 17.05) at https://github.com/galaxyproject/ in the galaxy and galaxy-kubernetes repositories. https://public.phenomenal-h2020.eu/ is an example deployment.

Download data

  • Downloaded 694 times
  • Download rankings, all-time:
    • Site-wide: 12,922 out of 64,772
    • In bioinformatics: 2,119 out of 6,408
  • Year to date:
    • Site-wide: 5,997 out of 64,772
  • Since beginning of last month:
    • Site-wide: 19,160 out of 64,772

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