Published 2025 | Version v3
Software Open

Kingdom-Wide CRISPR Guide Design with ALLEGRO

Authors/Creators

  • 1. ROR icon University of California, Riverside

Contributors

Data curator:

Researcher:

  • 1. ROR icon University of California, Riverside
  • 2. ROR icon Chinese Academy of Sciences

Description

Introduction

ALLEGRO (Algorithm for a Linear program Enabling Guide RNA Optimization) 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++

Documentation

ALLEGRO lives at GitHub. Information on how to install and run are on the Wiki.

About

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

Files

allegro_code.zip

Files (1.8 GB)

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Additional details

Software

Repository URL
https://github.com/ucrbioinfo/allegro
Programming language
Cython , Python , C++