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Over the last few years open-source has been increasingly becoming the norm, even in Bioinformatics. The number of high-quality applications which are freely available on GitHub and other Git providers is increasing, such as the pipelines that the Broad institute uses for production.
In December 2017, the team at Google Brain joined the effort by releasing an open source, deep learning based variant caller: DeepVariant. DeepVariant outperforms its competitors by accuracy - it even won the accuracy award at the precision FDA Truth Challenge.
Let’s focus on where Grakn makes a difference for us: what is the best resource to run specific analyses over cloud? We needed a technology that would allow us to both efficiently store our data and easily use it to train an ML model.