Digital Genome Engineering
Analytics and web-services to improve Genome Engineering applications in the health and biosecurity spaces.
Read more at https://bioinformatics.csiro.au/
New genome engineering technologies are currently revolutionising science, with impact in fields such as precision health, diagnostics and biosecurity. However there are many challenges that need to be overcome before its full potential can be used. Specifically, the natural genetic variations among individuals can give rise to significantly altered off-target risk profiles, the distinct chromatin environments of different tissues can dramatically influence the efficiency of targeted efficiency, and the complexity of genetic pathways make deciding on an intervention point quite difficult.
Digital genome engineering, the application of machine learning and modelling approaches to these systems, can help address these challenges. We are able to model and predict the effectiveness of editing approaches based on target site sequence as well as the expanded chromatin sequence, allowing for tissue-specific predictions. Additionally, we have developed pipelines that incorporate an individual or a population’s genetic variance to identify their specific risk profile. Finally, we are developing methods for the detection of artificial genome manipulation, providing a method for the monitoring of genomes in the biosecurity space.
We are applying our technologies in a number of specific application cases, including developing complex disease model systems, immuno-engineering (the tailoring of an individual’s immune system to fight specific applications) and gene-therapy treatments to correct disease causing mutations.
Impact on the Health System
By applying digital genome engineering techniques, we will help to enable precision health applications. These include tailoring immune systems to fight infections diseases (through immuno-engineering) or correcting disease causing mutations through gene-therapy applications.
Team leader and Research Scientist.
Research Officer developing tailored pipelines for genome engineering applications.
Postdoctoral Fellow developing genome engineering methods in the biosecurity space.
Solutions Engineer implementing our tools within the AWS cloud.
Postdoctoral Fellow collaborating with Children’s Medical Research Institute on gene therapy applications.
PhD Student applying large scale data analytics to influenza evolution.