variantspark:A 'Sparklyr' Extension for 'VariantSpark'
This is a 'sparklyr' extension integrating 'VariantSpark' and R. 'VariantSpark' is a framework based on 'scala' and
'spark' to analyze genome datasets, see
<https://bioinformatics.csiro.au/>. It was tested on datasets
with 3000 samples each one containing 80 million features in
either unsupervised clustering approaches and supervised
applications, like classification and regression. The genome
datasets are usually writing in VCF, a specific text file
format used in bioinformatics for storing gene sequence
variations. So, 'VariantSpark' is a great tool for genome
research, because it is able to read VCF files, run analyses
and return the output in a 'spark' data frame.
