Reconstruction of high read-depth singals from low-depth whole genome sequencing data using deep learning
DLRec is a deep learning based approach to reconstruce high read-depth signals from low depth WGS data. The technical details can be referred to the paper Reconstruction of high read-depth singals from low-depth whole genome sequencing data using deep learning attached in the doc fold.
The implementation used Chainer as the backend deep learning toolkit. The docker image used for runing this code can be downloaded from https://hub.docker.com/r/yaozhong/dlrec/.
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