Python Unleashed on Systems Biology

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We have built an open-source software system for the modeling of biomolecular reaction networks, SloppyCell, which is written in Python and makes substantial use of third-party libraries for numerics, visualization, and parallel programming. We highlight here some of the powerful features that Python provides that enable SloppyCell to do dynamic code synthesis, symbolic manipulation, and parallel exploration of complex parameter spaces.
Submitted to special issue of CiSE

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Quantitative Methods, Molecular Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/127861

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0704.3259
 http://arxiv.org/abs/0704.3259

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arXiv