How The Cloud Can Solve Life Science’s Big Data Problem

These days, biotech R&D is as much a data problem as a science problem.

Here’s why: in the past decade, the exploding field of synthetic biology has done an incredible job solving the scientific challenges of making biology easier to engineer. I have written about how tools like gene editing, synthesis, sequencing, and automation are changing for the better the way we feed, fuel, heal, and build our world with biology.

But these new techniques have created a new challenge that the life science industry wasn’t ready for: how to get massive amounts of super complex data into a single place where it’s all interlinked and can be fully made into real insights.

Source: Forbes