Machine Learning for Variant calling with DeepVariant from Google Brain
Last December Google Brain released DeepVariant, a machine-learning based variant caller using convolutional neural networks. While PacBio and Nanopore (long-read) sequencing become more mainstream, there exist massive amounts of data from 2nd generation sequencing* for populations which still have lots of use. For the Medicago HapMap project, we have 262 accessions with various depth of… Read More »