Software Open Access
DeepCRISPR is a deep learning based prediction model for sgRNA on-target knockout efficacy and genome-wide off-target cleavage profile prediction.
This model is based on a carefully designed hybrid deep neural network for model training and prediction.
Current version focuses on conventional NGG-based sgRNA design for SpCas9 in human species, for it is widely used in related experiments.
|All versions||This version|
|Data volume||18.1 GB||18.1 GB|