Software

Innovative software tools that power meduCA and accelerate breakthroughs in synthetic biology

Overview

In silico tools are vital to synthetic biology. They enable researchers to design, model, optimize, and analyze systems in a rapid and cost-effective manner, and meduCA is no exception. The intersection of bioinformatics and modelling laid the foundation for our carbonic anhydrase selection process before we ever needed to pick up a pipette, while firmware enabled custom-built hardware to optimize our culture conditions. The groundwork for our software stack was laid by dagger, a package for intelligently parallelizing processes based on the flow of data. Then, building off this foundation, we designed miso, a framework for creating intuitive user interfaces to control hardware, and maestro, a novel workflow executor focused on making bioinformatics more accessible and reliable. While miso drives our hardware, and maestro powers our computational analyses, both frameworks were built with future iGEM teams in mind: extensible, open-source, and ready to accelerate the next generation of synthetic biology research.




Core Links

Software Libraries

In silico analyses

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