I’ve been meaning to bring this up here for a while, because it’s been sitting in the back of my mind. Working in a mid-sized diagnostic lab, I keep wondering if we’re doing enough to stay up-to-date with how we handle our genomic data. We’ve improved on sequencing speed, but when it comes to interpreting the variants, classifying them properly, and generating consistent reports, I feel like we’re still using outdated tools. It worries me that we might miss something, or worse, delay critical results. Has anyone else here dealt with this and found a more modern solution?
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Just stumbled into this thread while browsing. I’m not directly in genomics, but I always find it fascinating how fast things are moving in this space. Sounds like there’s a real push toward making data interpretation more streamlined and scalable — which honestly seems overdue. Always interesting to see how labs are adapting behind the scenes.