We combine bioinformatics, metabolic flux modeling, genomic and expression data as well as AI-assisted design to create a virtual copy of the plant, turning a desired plant trait into a refined genetic engineering strategy.
Experimental data guide our choice of genes, regulatory-elements, and general construct architecture for the intended function. We typically explore various strategies in parallel to maximize our chances of success.
Genomic data
Metabolic data
Experimental data
Plasmid design
Resources and technology
- Whole genome sequencing
- 1,000+ unique genetic parts
- 20+ previously unknown regulatory elements validated
- Proprietary genetic databases