Computational Synthetic Genomics

We are developing techniques to understand the genetic code of an organism. Our simulation models allows us to observe, predict, compare and modify genomes of different organisms. Instead of using brute force or other synthetic biology models to find base pairs to modify, we use machine learning to understand and find predictable patterns in the genome. By predicting base pairs to modify to achieve desired behaviour, we are enabling applications in synthetic biology, therapeutic discovery, diagnostics, and treatment.

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