DeepVariant is one of the most popular variant callers in genomics right now. It uses image-based deep learning methods to predict mutations in a genome. DeepVariant comes with a pre-trained model out of the box that works very well across a wide set of scenarios, but it's possible to train new models for more advanced applications to be used with DeepVariant. We'll use Parabricks to run the vanilla DeepVariant model on our dataset and measure its performance. We expect to see good performance out of the box. Then we'll retrain this model on new data and reevaluate performance, expecting higher accuracy using our new model.
Prerequisite(s):
Basic familiarity with command line Linux, Python, bioinformatics.
Explore more training options offered by the NVIDIA Deep Learning Institute (DLI). Choose from an extensive catalog of self-paced, online courses or instructor-led virtual workshops to help you develop key skills in AI, HPC, graphics & simulation, and more.
Ready to validate your skills? Get NVIDIA certified and distinguish yourself in the industry.