I was at a scientific meeting for the last few days. I was exposed to real work using just about every kind of -omics there is for the first time. Shocking, almost beyond belief. But two things stand out: it's even easier to miss a signal with too much data (say, hundreds of thousands of measurements) compared to with too little data. And if you don't think before you begin, it's extremely easy to wind up with hundreds of thousands of measurements that mean nothing at all. There IS a way to differentiate -omic tests from tests done by the same general methods by another provider; it isn't instantly obvious that experience will enable Myriad to be the one that differentiates its products as best.