SIRIUS: maximally divergent synonymous gene design with ILP/CP-SAT core
Project description
Introduction
SIRIUS (Systematische Identifikation Redundanter, Identisch Uebersetzter Sequenzen) is a synthetic biology tool leveraging Google OR-Tools integer programming to design genetic sequences with the shortest and fewest possible homologous fragments between pairs within minutes.
- Design n gene sequences all translating to a given protein P
- Effectively synthesize sequences with maximal, optimal divergence
- Written in pure C++
Overview of the SIRIUS workflow. Step (1) The input to SIRIUS is a protein sequence of interest P and the desired number n of synonymous DNA sequences to be designed; Step (2) SIRIUS solves an integer linear program with the objective function detailed in its publication, and millions of variables and constraints; Step (3) SIRIUS produces of n synonymous DNA sequences that encode P with the fewest and shortest common subsequences.
Documentation
You may find the documentation for SIRIUS at its GitHub Wiki.
Support
If you run into any issues or have suggestions for SIRIUS, please report them on our GitHub Issues tracker. It's the fastest way to get support and helps us improve SIRIUS for everyone. You may also email the authors at their provided e-mail addresses on the publication directly.
About
SIRIUS has been developed and is maintained by Amirsadra Mohseni, and Stefano Lonardi at the University of California, Riverside.
Project details
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