Teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering.

ABSTRACT: Synthetic biology dictates the data-driven engineering of biocatalysis, cellular functions, and organism behavior. Integral to synthetic biology is the aspiration to efficiently find, access, interoperate, and reuse high-quality data on genotype-phenotype relationships of native and engineered biosystems under FAIR principles, and from this facilitate forward-engineering strategies. However, biology is complex at the regulatory level, and noisy at the operational level, thus necessitating systematic and diligent data handling at all levels of the design, build, and test phases in order to maximize learning in the iterative design-build-test-learn engineering cycle. To enable user-friendly simulation, organization, and guidance for the engineering of biosystems, we have developed an open-so

SUBMITTER: Petersen SD 

PROVIDER: S-EPMC10954146 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature