CRISPRon-v1.0::Submit::form

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

This webserver is dedicated to the assessment of guide RNAs for CRISPR-spCas9 applications. Using the webserver, you can compute the on target efficieny of all possible gRNAs with NGG PAM sequences, for genes, genomic regions or custom sequences.

You should also assess the off-target potential of any gRNA before using it in experiments. You can do that from the CRISPRon results page or with the CRISPRoff webserver.

Please fill out the submission form and click the Submit button below.

Job options

Fill in a genome assembly and a query sequence or region and press submit below.

Genome assembly

A region of size 30-100,000 in the reference genome.

OR target the exons of a gene by entering gene name from GENCODE/Ensembl or an Ensembl id.

OR paste in a target sequence (30 - 10,000 nt)

E-mail

Job name

(When you press submit, you accept that your data and E-mail are stored on our servers for up to 14 days for the sole purpose of processing your job and reporting back to you. You also accept that the server uses local session cookies to track your job.)

Citing CRISPRon

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

CRISPRon/off: CRISPR/Cas9 on- and off-target gRNA design

Anthon C, Corsi GI, Gorodkin J* Bioinformatics. 2022 Dec 13;38(24):5437-5439
[ PubMed | Paper | Webserver ]

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* Nat Commun. 2021 May 28;12(1):3238
[ PubMed | Paper | Webserver | Software ]

Feedback

We greatly appreciate your comments. Open Feedback form in a new tab. Alternatively you can E-mail us with your questions and comments.

Version: Thu Aug 31 13:30:52 CEST 2023