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interpreting the variants, classifying them properly, and generating consistent reports, I feel like we’re still using outdated tools.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?
top of page
bottom of page
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.
That’s actually something we ran into recently too. We realized we were relying too much on manual review and scattered databases, which made the process slow and prone to inconsistency. What really helped us was moving to a more centralized and automated platform. If you're still exploring options, take a look at https://compassbioinfo.com/. It’s a solid resource for simplifying variant interpretation, and the interface is intuitive enough for different teams to use without a ton of training. Helped us get our turnaround time under control.