Python Unleashed on Systems Biology

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dc.creatorMyers, Christopher R.
dc.creatorGutenkunst, Ryan N.
dc.creatorSethna, James. P.
dc.date2007-04-24
dc.date.accessioned2026-07-07T07:58:02Z
dc.date.available2026-07-07T07:58:02Z
dc.descriptionWe 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.
dc.descriptionSubmitted to special issue of CiSE
dc.identifierhttps://arxiv.org/abs/0704.3259
dc.identifierhttp://arxiv.org/abs/0704.3259
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/127861
dc.subjectQuantitative Methods
dc.subjectMolecular Networks
dc.titlePython Unleashed on Systems Biology
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