Showing 2 open source projects for "cluster computing"

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    sparklyr

    sparklyr

    R interface for Apache Spark

    sparklyr is an R package that provides seamless interfacing with Apache Spark clusters—either local or remote—while letting users write code in familiar R paradigms. It supplies a dplyr-compatible backend, Spark machine learning pipelines, SQL integration, and I/O utilities to manipulate and analyze large datasets distributed across cluster environments.
    Downloads: 0 This Week
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    Amplicon_Sequencing_Worfklow

    Amplicon_Sequencing_Worfklow

    Analyzing amplicon data from sequences to stats

    ...All you need is to have the latest version of R installed, some experience with the command line & shell, and enough memory to run all of the programs. There are also instructions provided in case you are running these analyses via a computing cluster/Slurm workload manager. You can choose to go through the workflow using either an Rmd script, an html file, or a PDF, or via the homepage link provided. If you have questions or concerns, please don't hesitate to reach out. Thanks!
    Downloads: 0 This Week
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