Title :
Python Unleashed on Systems Biology
Author :
Myers, Christopher R. ; Gutenkunst, Ryan N. ; Sethna, James P.
Author_Institution :
Cornell Univ., Ithaca
Abstract :
Researchers at Cornell University have built an open source software system to model biomolecular reaction networks. SloppyCell is written in Python and uses third-party libraries extensively, but it also does some fun things with on-the-fly code generation and parallel programming.
Keywords :
biology computing; molecular biophysics; parallel programming; program compilers; public domain software; Python; SloppyCell; biomolecular reaction network modeling; on-the-fly code generation; open source software system; parallel programming; systems biology; third-party libraries; Biological system modeling; Chemicals; Differential equations; Markup languages; Open source software; Predictive models; Signal processing; Software libraries; Systems biology; Uncertainty; Python; biology; computer languages; science;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2007.60
