Fig. a staggered cleavage and synthetic model of DSB repair with 1bp insertion

CRISPRone

CRISPRone is a fast, user-friendly, interactive interface for predicting the one bp insertion (+1 bp) efficiency of SpCas9 in human cells. The deep-learning model of CRISPRone is trained with large experimentally measured CRISPR indel data in HEK293T cells, using the gRNA-target pair surrogate library. The CRISPRone web portal was developed using the R Shiny package and for research purpose only.

To obtain the optimal sgRNA utilized for one bp insertion , go to the Job menu.

For the utility and development process, check the the Help menu.

Citation

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Software references

1. R Development Core Team.R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. R version 3.5.0 (2018)
2. RStudio and Inc.shiny: Web Application Framework for R. R package version 1.0.5 (2017)
3. Matt Dowle and Arun Srinivasan.data.table: Extension of “data.frame”. R package version 1.10.4-3 (2017)
4. JJ Allaire, Jeffrey Horner, Vicent Marti and Natacha Porte.markdown:“Markdown” Rendering for R. R package version 0.8 (2017)
5. Xiang X, Corsi GI, Anthon C, et al. Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning . Nat Commun. (2021)
6. Fu R, He W, Dou J, et al.Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity . Nat Commun. (2022).
7. Doench JG, Hartenian E, Graham DB, et al. Rational design of highly active sgRNAs for CRISPR-Cas9-mediated gene inactivation . Nat Biotechnol. (2014)

Contact

This application was created by Dream Lab. Please send bugs and feature requests to Hao Yuan (@genomics.cn) or Yonglun Luo (@biomed.au.dk). This application uses the shiny package from RStudio.

Note

For Mac users, we recommend using CRISPRone with the Firefox or other browsers developed based on Chrominum.