CRISPRon(v1.0): CRISPR-Cas9 guide efficiency prediction


The CRISPRon webserver is dedicated to the prediction of on-target cleavage efficiency by CRISPR-Cas9 at target sites designed from a given genomic sequence. Using the webserver, you can find possible CRISPR-Cas9 targets from an input sequence and obtain the matching gRNA and its predicted Cas9 cleavage effiency (indel frequency obtained at approx. 3 days after gRNA delivery). Further details on using the webserver and description of the input and outputs are given on the Help page.

This webserver is for on-target Cas9 cleavage efficiency predictions only. We suggest to process your selected gRNAs with the CRISPRoff webserver as well and select those that have not only high predicted on-target efficiency but also low predicted off-target potential. For more information about CRISPR off-targets please visit the CRISPRoff webserver.

Citing CRISPRon

If you are using the results of the CRISPRon in your publication, please cite:

Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning

Xiang X, Corsi GI, Anthon C, Qu K, Pan X, Liang X, Han P, Dong Z, Liu L, Zhong J, Ma T, Wang J, Zhang X, Jiang H, Xu F, Liu X, Xu X, Wang J, Yang H, Bolund L, Church GM, Lin L, Gorodkin J*, Luo Y* Nature Communications 2021, 12(1)
[ Paper | Webserver | Software ]

CRISPRon is trained on data reported in the publication above and in a 2019 paper from Kim, please cite that as well.

SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance

Kim HK, Kim Y, Lee S, Min S, Bae JY, Choi JW, Park J, Jung D, Yoon S, Kim HH Sci Adv. 2019 Nov 6;5(11):eaax9249. eCollection 2019 Nov
[ PubMed | Paper ]

Finally, if you use the interaction energies reported by the CRISPRoff tool, please cite:

CRISPR-Cas9 off-targeting assessment with nucleic acid duplex energy parameters

Alkan F, Wenzel A, Anthon C, Havgaard JH, Gorodkin J Genome Biol. 2018 Oct 26;19(1):177
[ PubMed | Paper | Webserver | Software ]


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