Computer-aided design of biology

Nature has evolved billions of useful molecular devices in the form of genes and genetic parts across the tree of life. We source, catalog, characterize, refine, and remix these components, providing our partners with a large toolbox to design new systems.

Biology is mind-bendingly complex, and genetic engineering unlocks an unbounded design space. We provide data-driven computational models to predict how genetic systems behave. Our goal is to advance biotechnology beyond trial-and-error.

AI tools will become increasingly central to cellular systems engineering. We use machine learning to bridge large-scale datasets with mechanistic models of biology, enabling algorithmic optimization of genetic systems for therapeutic applications.

Genome-scale, multi-omics measurement technologies provide deep views into the cell. These techniques permit pathway analysis at the scale of a whole cell, and inspection down at single-nucleotide resolution.