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VERSION:2.0
PRODID:-//RLASKEY//CALENDEROUS//EN
CALSCALE:GREGORIAN
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BEGIN:VEVENT
DTSTAMP:20260919T072958Z
LAST-MODIFIED:20160315T195603Z
DTSTART:20160415T160000Z
DTEND:20160415T173000Z
UID:event1573@bu.edu
URL:http://physics.bu.edu/internal/events/show/1573
SUMMARY:Stochastic modeling of gene expression: exact results and large dev
	iations
DESCRIPTION:Featuring Rahul Kulkarni\nHosted by: Pankaj Mehta\n\nPart of th
	e Biophysics/Condensed Matter Seminar Series.\n\nAbstract:\nIn several biol
	ogical systems\, phenotypic variations are seen even among geneticallyident
	ical cells in homogeneous environments.  Recent research\nindicates that su
	ch `non-genetic individuality' can be driven by  rare events arising from t
	he intrinsic stochasticity of gene expression. Correspondingly there is a n
	eed to develop analytical approaches for modeling fluctuations and rare eve
	nts in  stochastic gene expression \n\nIn this talk\, I will discuss analyt
	ical approaches developed by mygroup for stochastic models of gene expressi
	on.  By developing a\nmapping to systems analyzed in queueing theory\, we d
	erive\nanalytical results characterizing mRNA and protein distributions for
	\ngeneral kinetic schemes of gene expression. For models with Poisson\narri
	vals of mRNAs\, we develop a novel approach that leads to\nexact analytical
	 results for protein distributions. We combine approaches fromqueueing theo
	ry and non-equilibrium statistical mechanics to   \ncharacterize large devi
	ations in activity fluctuations for\ngeneral models of gene expression with
	 promoter-based regulation.
LOCATION:SCI 352\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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