Synthetic biology design and simulation tools. Codon optimization, gene circuit ODE modeling with growth feedback, SBML model creation, bifurcation analysis, barcode sequencing fitness analysis, and therapeutic genome engineering. For metabolic modeling use cobrapy; for sequence tools use biopython.
How to install synthetic-biology?
synthetic-sciences/openscience/synthetic-biology
$npx -y skills add synthetic-sciences/openscience --skill synthetic-biologyInstalls into the current project.
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Run `npx skills use "https://github.com/synthetic-sciences/openscience" --skill "synthetic-sciences/openscience/synthetic-biology"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/synthetic-sciences/openscience" that are relevant to the current task. Run `npx skills add "https://github.com/synthetic-sciences/openscience"` and select the relevant skills, then follow their instructions.
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