Background The growth in publically available microbiome data in recent years has yielded
an invaluable resource for genomic research, allowing for the design of new studies,
augmentation of novel datasets and reanalysis of published works. This vast amount of
microbiome data, as well as the widespread proliferation of microbiome research and the
looming era of clinical metagenomics, means there is an urgent need to develop analytics
that can process huge amounts of data in a short amount of time. To address this need, we …