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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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Using digital electronic design flow to create a Genetic Design Automation tool.

Y Gendrault1, M Madec, V Wlotzko

  • 1Institut d’Electronique du Solide et des Systèmes (InESS Institute of Electronics for Solids and Systems), Université de Strasbourg(Unistra) and the Centre National de Recherches Scientifiques (CNRS),UMR7163, Strasbourg, France. ygendrault@unistra.fr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces Genetic Design Automation (GDA), inspired by Electronic Design Automation (EDA), to streamline complex synthetic biology system development. GDA aims to automate bio-system design, reducing costs and development time.

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Area of Science:

  • Synthetic Biology
  • Computational Biology
  • Microelectronics Engineering

Background:

  • Synthetic bio-system development is complex, lengthy, and expensive.
  • Microelectronics benefits from automated Electronic Design Automation (EDA) tools for complex circuit design.
  • Analogies exist between synthetic biology and microelectronics design processes.

Purpose of the Study:

  • To present an ambitious project for a Genetic Design Automation (GDA) tool.
  • To leverage EDA principles for automating synthetic bio-system design.
  • To enable assisted conception of bio-systems, moving beyond manual design.

Main Methods:

  • Developing a GDA tool inspired by EDA principles.
  • Focusing on automatic generation of bio-system models.
  • Ensuring generated models are directly usable in electronic simulators.

Main Results:

  • The proposed GDA tool automates the generation of synthetic bio-system models.
  • Models generated by the tool are compatible with electronic simulators.
  • The approach facilitates assisted conception in synthetic biology design.

Conclusions:

  • Genetic Design Automation offers a pathway to automate and simplify complex synthetic bio-system development.
  • The developed tool bridges the gap between synthetic biology and electronic design automation.
  • This approach promises to reduce the cost and time associated with creating sophisticated bio-systems.