Project

A computational framework for combinatorial design of molecules, genes and cells

Code
01D15421
Duration
01 October 2021 → 30 September 2025
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Computational biomodelling and machine learning
    • Development of bioinformatics software, tools and databases
    • Synthetic biology
Keywords
combinatorial design in synthetic biology efficient engineering of biosystems machine learning and computational biology
 
Project description

Recent advances in biotechnology allow to generate and screen an increasing number of variants in proteins, genetic constructs and cells. However, to maximally learn from these experiments, specialized computational methods are required. This PhD project aims to develop a general-purpose toolbox to optimize biotechnological experiments based on state-of-the-art machine learning techniques.