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Characterization of Biologically Relevant Network Structures form Time-series Data

Tuza, Zoltan A.; Stan, Guy-Bart;
Open Access
Abstract
<p><strong>Abstract</strong></p> <p>High-throughput data acquisition in synthetic biology leads to an abundance of data that need to be processed and aggregated into useful biological models. Building dynamical models based on this wealth of data is of paramount importance to understand and optimize designs of synthetic biology constructs. However, building models manually for each data set is inconvenient and might become infeasible for highly complex synthetic systems. In this paper, we present state-of-the-art system identification techniques and combine them with chemical reaction network theory (CRNT) to generate dynamic models automatically. On the system...
Persistent Identifiers
Funded by
EC| COSY-BIO
Project
COSY-BIO
Control Engineering of Biological Systems for Reliable Synthetic Biology Applications
  • Funder: European Commission (EC)
  • Project Code: 766840
  • Funding stream: H2020
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