DeepVariant is a deep learning-based variant caller that takes aligned reads (in BAM or CRAM format), produces pileup image tensors from them, classifies each tensor using a convolutional neural network, and finally reports the results in a standard VCF or gVCF file. |
hg clone https://toolshed.g2.bx.psu.edu/repos/iuc/deepvariant
Name | Description | Version | Minimum Galaxy Version |
---|---|---|---|
deep learning-based variant caller | 1.2.0+galaxy1 | 20.01 |