GAMES: A Dynamic Model Development Workflow for Rigorous Characterization of Synthetic Genetic Systems.

ABSTRACT: Mathematical modeling is invaluable for advancing understanding and design of synthetic biological systems. However, the model development process is complicated and often unintuitive, requiring iteration on various computational tasks and comparisons with experimental data. Ad hoc model development can pose a barrier to reproduction and critical analysis of the development process itself, reducing the potential impact and inhibiting further model development and collaboration. To help practitioners manage these challenges, we introduce the Generation and Analysis of Models for Exploring Synthetic Systems (GAMES) workflow, which includes both automated and human-in-the-loop processes. We systematically consider the process of developing dynamic models, including model formulation, p

SUBMITTER: Dray KE 

PROVIDER: S-EPMC9097825 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature