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
dagger, the foundational library that laid the groundwork for miso and maestro
miso, a hardware control framework that powers our bioreactors
maestro, a task execution framework that powers our phylogenetic and modelling analyses
In silico analyses
Our phylogenetic analysis, which empowered exploratory analysis of carbonic anhydrase variants
Our modelling, which enabled systematic comparison of carbonic anhydrase candidates for surface display
Other
The source code for our software — as well as the input/output data used in our analyses — is openly available at our GitLab repository
The joint commit history of our projects can be inspected here