ALLEGRO is a synthetic biology tool leveraging linear programming to design the smallest possible gRNA library to fulfill user-specified constraints.

• Design a Cas9 gRNA library for thousands of species simultaneously
• Flexible library design using an ensemble of options such as tracks, multiplicity, pre- and post-clustering, guide cutting efficacy prediction, and more
• Extremely fast and computationally efficient
• Written in Python, Cython, and C++

You may find the documentation for ALLEGRO at its GitHub Wiki.

If you run into any issues or have suggestions for ALLEGRO, please report them on our GitHub Issues tracker. It's the fastest way to get support and helps us improve ALLEGRO for everyone.

ALLEGRO has been developed and is maintained by Amir Mohseni, and Stefano Lonardi at the University of California, Riverside.