pSSAlib specifications

Information


Unique identifier OMICS_24784
Name pSSAlib
Alternative name partial-propensity Stochastic Simulation Algorithms library
Software type Framework/Library
Interface Command line interface, Application programming interface
Restrictions to use None
Input format SBML
Operating system Unix/Linux
Programming languages C++
Computer skills Advanced
Version 2.0
Stability Stable
Requirements
gcc or clang, GSL, Boost C++ librairies, SBML C++ library
Maintained Yes

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Versioning


No version available

Maintainers


  • person_outline Ivo Sbalzarini
  • person_outline Rajesh Ramaswamy

Publications for partial-propensity Stochastic Simulation Algorithms library

pSSAlib institution(s)
Center for Information Services and High Performance Computing, TU Dresden, Dresden, Germany; Center for Advancing Electronics Dresden, TU Dresden, Dresden, Germany; Chair of Scientific Computing for Systems Biology, Faculty of Computer Science, TU Dresden, Dresden, Germany; MOSAIC Group, Center for Systems Biology Dresden, Dresden, Germany; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany; Max Planck Institute for the Physics of Complex Systems, Dresden, Germany
pSSAlib funding source(s)
Supported by the German Federal Ministry of Research and Education (BMBF) under funding code 031A099 and a research fellowship from the Alexander von Humboldt Foundation, by the German Research Foundation within the Cluster of Excellence “Center for Advancing Electronics Dresden” and by the network “Systems Medicine of the Liver” (LiSyM), funded by BMBF (031L0033).

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