Year: 2024
Type: dissertation
Abstract: Biological circuits often suffer from high noise and high cellular burden that can lead to cell death. In this thesis, we explore distributed biological circuit design to present solutions for biological computations in high-noise environments. We first designed a new language oriented to the distributed circuit design, solving the limitations of previously existing tools. Secondly, we presented a distributed algorithm for distributed biological circuits that coordinates a population of cells to find an analyte of interest resistant to noise. The algorithm is more sensitive than the state-of-the-art individual cell algorithms. Finally, we provide a new algorithm to validate the previous algorithm using quasi-stationary distributions in a stochastic model instead of our initially used deterministic ordinary differential equation model.
Author: Cravo, Fabricio
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7064494703
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