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SUMMARY:Engineering Genetic Circuits - Chris J. Myers\, University of Utah
DTSTART:20101015T103000Z
DTEND:20101015T113000Z
UID:TALK26215@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Recently\, numerous engineers have demonstrated that genetic c
 ircuits can be effectively modeled and analyzed utilizing methods original
 ly developed for electrical circuits leading to new understanding of their
  behavior. These results have also made it possible to design synthetic ge
 netic circuits that behave like particular electrical circuits such as swi
 tches and oscillators. Synthetic genetic circuits have the potential to he
 lp us better understand how microorganisms function\, produce drugs more e
 conomically\, metabolize toxic chemicals\, and even modify bacteria to hun
 t and kill tumors. There are\, however\, numerous challenges to design wit
 h genetic material. First\, existing genetic design automation (GDA) tools
  require biologists to design and analyze genetic circuits at the molecula
 r level\, roughly equivalent to the layout level for electronics circuits.
  Another serious challenge is that genetic circuits are composed of very n
 oisy components making their behavior more asynchronous\, analog\, and sto
 chastic in nature. New GDA tools must address these challenges. This talk 
 presents our research in the development of iBioSim\, a GDA tool that supp
 orts higher levels of abstraction. This talk also demonstrates the applica
 tion of this tool to the design of a genetic Muller C-element for use as a
  quorum trigger.\n
LOCATION:Small public lecture room\, Microsoft Research Ltd\, 7 J J Thomso
 n Avenue (Off Madingley Road)\, Cambridge
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