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  "Title": "A 'Sparklyr' Extension for 'VariantSpark'",
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  "Maintainer": "Samuel Macêdo <samuelmacedo@recife.ifpe.edu.br>",
  "Description": "This is a 'sparklyr' extension integrating 'VariantSpark'\nand R. 'VariantSpark' is a framework based on 'scala' and\n'spark' to analyze genome datasets, see\n<https://bioinformatics.csiro.au/>. It was tested on datasets\nwith 3000 samples each one containing 80 million features in\neither unsupervised clustering approaches and supervised\napplications, like classification and regression. The genome\ndatasets are usually writing in VCF, a specific text file\nformat used in bioinformatics for storing gene sequence\nvariations. So, 'VariantSpark' is a great tool for genome\nresearch, because it is able to read VCF files, run analyses\nand return the output in a 'spark' data frame.",
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  "Author": "Samuel Macêdo [aut, cre], Javier Luraschi [aut]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2019-06-13 15:20:03 UTC",
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