Software Open Access

DeepCRISPR: optimized CRISPR guide RNA design by deep learning

Guohui Chuai; Qi Liu

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.

Files (134.7 MB)
Name Size
bm2-lab/DeepCRISPR-v1.0.zip
md5:6a87dd7dd73662536c572b9b9f183d19
134.7 MB Download
699
93
views
downloads
All versions This version
Views 699700
Downloads 9393
Data volume 12.5 GB12.5 GB
Unique views 656657
Unique downloads 6868

Share

Cite as