Stochpy: a comprehensive, user-friendly tool for simulating stochastic biological processes

HIGHLIGHTS

  • who: Simulating Stochastic Biological Processes et al. from the Systems Bioinformatics, Amsterdam Institute for Molecules Medicines and Systems, VU University Amsterdam, Amsterdam, The Netherlands, Life Sciences, Centrum have published the paper: StochPy: A Comprehensive, User-Friendly Tool for Simulating Stochastic Biological Processes, in the Journal: PLOS ONE | www.plosone.org of November/18,/2013
  • what: In Section 4 of Information S1 the authors show that the authors can derive the Michaelis-Menten relationship from this model. In Figures 4 and 5 the authors compare two kinetic parameter settings leading to a bursty and a non . . .

     

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