Design. Discover. Repeat.

Iterative Genome Engineering allows you rapidly move through the Design-Generate-Test-Learn (DGTL) cycle to accelerate the discovery process. After screening your Onyx Cell Libraries and identifying the variants you want to take forward, you can design new edit libraries to generate additional diversity. To do that, the editing plasmids are cured from the engineered cells, which can be then transformed with new editing reagents. Update and import the new genome in just a few minutes using our software and proceed to design your next Genome Engineering Experiment.

Onyx makes iterative genome engineering easy.

Inscripta’s Iterative Genome Engineering protocols and kits enable easy workflow integration, with step-by-step validated instructions on how to prepare your strains for the next genome engineering cycle. Now you can get to the next round of editing in less than a week.

E. coli
We offer an Onyx® E. coli Curing Kit enabling instrument curing of up to 24 variants and supporting documents describing the curing and preparation for Iterative Genome Engineering.
S. cerevisiae
For S. cerevisiae, we provide a validated, manual plasmid curing protocol (up to 24 variants), as well as protocols describing the preparation of strains for Iterative Genome Engineering.

See what iterative genome engineering can do for you.

Whether you are working on engineering a more efficient enzyme or trying to improve productivity of your strain, in just a few genome editing cycles you can achieve unprecedented results. See how you can rapidly achieve significant strain improvement with the Onyx Iterative Genome Engineering workflow.

Eric Abbate —  Director of Analytical Biochemistry, Applications Development, Inscripta

Onyx E. coli Curing Kit for iterative editing.

Feature Specification
Host E. coli
Strains Inscripta standard and customer strains
Pooling capacity 2 to 24 variants
Curing efficiency 40%
Instrument time 43 hours

Generate any library at the push of a button.

The Onyx gives you the flexibility and scalability to develop virtually limitless libraries. Create insertions, deletions, substitutions, or full saturation mutagenesis, in a single gene, a pathway, or the whole genome.