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SUMMARY:Analyzing the effect of noise on various models of Circadian Clock
  and Cell Cycle coupling - Alessandro Romanel\, CoSBi
DTSTART:20090616T130000Z
DTEND:20090616T140000Z
UID:TALK14760@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: The daily rhythm can influence the proliferation r
 ate of many cell types. In the mammalian system the transcription of the c
 ell cycle regulatory protein Wee1 is controlled by the circadian clock. Co
 mputational modeling of this coupling of the circadian and cell cycle osci
 llators can lead to multimodal cell cycle time distributions. Here we furt
 her extend and analyze this model in a stochastic framework. We build mode
 ls at different levels of abstraction in BlenX and compare the statistics 
 of their stochastic simulation results with a newly introduced method base
 d on Fourier analysis. The original model is compared with an extension by
  inferring parameter rates from experiments on circadian rhythm and a proc
 ess calculi based unpacking of phosphorylation and complexation reactions.
  Our results reveal the similarities and differences between the various l
 evels of abstractions and suggest further directions for future experiment
 al and computational investigations.\n\n*Biography*: Alessandro Romanel at
 tended the Faculty of Science at the University of Trento (Italy)\, where 
 he obtained a Bachelor's (2004) and Master's (2006) degree in Computer Sci
 ence. In 2004 he worked as a postgraduate researcher at CREATE-NET Interna
 tional Research Center. From September until December 2008\, Alessandro wa
 s a visiting student at the Computer and Information Science department at
  the University of Pennsylvania\, and was supervised by Professor Benjamin
  C. Pierce. Currently\, he is a third-year PhD student at the ICT Internat
 ional Doctorate School at the University of Trento (Italy)\, carrying out 
 research activities at CoSBi and supervised by Professor Corrado Priami.
LOCATION:Small public lecture room\, Microsoft Research Ltd\, 7 J J Thomso
 n Avenue (Off Madingley Road)\, Cambridge
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