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Paving the Way for Future Emerging DNA-based Technologies: Computer-Aided Design and Manufacturing of DNA libraries

Description du projet


FET Open
Computer-Aided Design, Manufacturing and Applications of DNA

CADMAD aims to make a foundational breakthrough in the way computers and computer-aided design and manufacturing is employed in DNA-based research and development, making a radically new use of information technologies in biology and biotechnology.Biology and biotechnology research involves "DNA programming", which is akin to computer programming. Researchers modify and combine DNA of interest in a programmatic way to uncover its function, to improve its function, or to create new functions. Whereas the composition and editing of computer programs is as easy as using a word-processor, the design, construction and editing of DNA in a programmatic fashion is still a slow, expensive, labour-intensive wet-lab process.CADMAD's vision is to replace the labour-intensive DNA processing carried out today by tens of thousands of skilled wet-lab workers around the world, by high-throughput computer-aided design and manufacturing of DNA, which would be fundamentally more efficient than plain de novo DNA synthesis by effectively reusing existing DNA. Computed-aided design and manufacturing of semiconductor chips has enabled the computer revolution, the Internet revolution, and the mobile phone revolution. Computer-aided design and manufacturing of DNA may similarly enable a revolution in biology and biotechnology, in which high-throughput computer-aided and robotically executed experiments replace manual wet-lab work, resulting in accelerated progress in key areas of research and development.

Appel à propositions

FP7-ICT-2009-C
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Coordonnées du coordinateur

Ehud SHAPIRO Prof.

Coordinateur

WEIZMANN INSTITUTE OF SCIENCE
Contribution de l’UE
€ 1 039 607,00
Adresse
HERZL STREET 234
7610001 Rehovot
Israël

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Type d’activité
Higher or Secondary Education Establishments
Contact administratif
Gabi Bernstein (Ms.)
Liens
Coût total
Aucune donnée

Participants (11)