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DTSTAMP:20260616T130548Z
UID:ebbb5b01-bd4b-45dc-b850-4261f3364565
DTSTART:20191031T090000Z
DTEND:20191031T170000Z
DESCRIPTION:Educators:\nSven Sahle (Heidelberg University)\, Frank Bergmann
  (Heidelberg University)\, Stefan Hoops (University of Virginia)\, Ursula 
 Kummer (Heidelberg University)\, Pedro Mendes (University of Connecticut)\
 , Jürgen Pahle (Heidelberg University)\, Egils Stalidzans (University of 
 Latvia) (de.NBI-SysBio / de.NBI-ModSim)\n\nDate:\nThursday\, October 31st\
 , 2019\n\nLinks:\nhttp://denbi-modsim.de/icsb_copasi_2019/\nRegistration: 
 https://forms.gle/NepBmMjrXmTzuCpy9\n\nLocation:\nRoom 3\, Okinawa Institu
 te of Science and Technology Graduate University\nOkinawa\, Japan\n\nConte
 nts:\nCOPASI is a widely used software tool for creating\, simulating and 
 analysing models of biochemical reaction networks. It is open source free 
 software and available for all major operating systems. Its features inclu
 de deterministic and stochastic simulation\, steady state analysis\, stoic
 hiometric analysis\, optimisation and parameter estimation\, time scale an
 alysis\, sensitivities and metabolic control analysis\, Lyapunov exponents
 \, linear noise approximation\, etc.\n\nIn the workshop we will demonstrat
 e the use of advanced features of COPASI\, focusing on parameter estimatio
 n and parameter identifiability analysis\, and the use of COPASI from scri
 pting languages. For experienced users of the software\, we will present a
 n overview of new features added in the latest releases\, such as stochast
 ic differential equation models. A special session will demonstrate an opt
 imisation workflow\, highlighting how COPASI can be integrated in third pa
 rty software projects. The developers of COPASI will also be available for
  the discussion of individual questions from the participants.\n\nPrerequi
 sites:\nLaptop\n\nKeywords:\nsystems biology\, software tools\, quantitati
 ve models\, parameter estimation\, model simulation\, metabolic networks\,
  model databases\, community standards\n\nTools:\nCOPASI\, 
LOCATION:Präfektur Okinawa
SUMMARY:Advanced modeling with COPASI - ICSB 2019 
URL;VALUE=URI:https://www.denbi.de/training/658-advanced-modeling-with-copa
 si-icsb-2019
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