Designing Machine Learning algorithms for clinical level high-precision predictions of off-target mutations in CRISPR-Cas9

This project will provide software tools to predict where a gene modifying system will make changes in the DNA of a living cell or animal. This is particularly important to investigate since this new system called CRISPR-Cas may one day be use for human gene therapy. We will test our system in animal models and develop a predictive platform to determine if the therapy will be safe for human by predicting with CRISPR-cas system should be use for specific diseases. Our work will hopefully pave the way for gene therapy applied in an ethical fashion in human.

Intern: 
Elsa Rousseau;Elina Francovic-Fontaine;Émanuel Paré
Superviseur universitaire: 
Jacques Corbeil
Province: 
Quebec
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