×

DeepCRISPR

swMATH ID: 40031
Software Authors:
Chuai, G. H.; Ma, H. H.; Yan, J. F.; et al.
Description: DeepCRISPR: Optimized CRISPR guide RNA design by deep learning. A major challenge for effective application of CRISPR systems is to accurately predict the single guide RNA (sgRNA) on-target knockout efficacy and off-target profile, which would facilitate the optimized design of sgRNAs with high sensitivity and specificity. Here we present DeepCRISPR, a comprehensive computational platform to unify sgRNA on-target and off-target site prediction into one framework with deep learning, surpassing available state-of-the-art in silico tools. In addition, DeepCRISPR fully automates the identification of sequence and epigenetic features that may affect sgRNA knockout efficacy in a data-driven manner. DeepCRISPR is available at http://www.deepcrispr.net/.
Homepage: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020378/
Source Code:  https://github.com/bm2-lab/DeepCRISPR
Related Software: RAMPred; RNAm5Cfinder; PseUI; AlexNet; BERMP; DeepMRMP; RMBase; iRNA-3typeA; iRNA-PseU; iRNAm5C-PseDNC; iRNA-PseColl; Adam; ImageNet; Cd-hit
Cited in: 1 Document

Citations by Year