Software that goes with the flow in systems biology |
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| Authors: | Michael Hucka Nicolas Le Novère |
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| Affiliation: | (1) Control and Dynamical Systems, California Institute of Technology, 91125 Pasadena, CA, USA;(2) Wellcome Trust Genome Campus, EMBL-European Bioinformatics Institute, CB10 1SD Hinxton, Cambridgeshire, UK |
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| Abstract: | A recent article in BMC Bioinformatics describes new advances in workflow systems for computational modeling in systems biology. Such systems can accelerate, and improve the consistency of, modeling through automation not only at the simulation and results-production stages, but also at the model-generation stage. Their work is a harbinger of the next generation of more powerful software for systems biologists. |
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