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SELANSI: a toolbox for simulation of stochastic gene regulatory networks
MOTIVATION: Gene regulation is inherently stochastic. In many applications concerning Systems and Synthetic Biology such as the reverse engineering and the de novo design of genetic circuits, stochastic effects (yet potentially crucial) are often neglected due to the high computational cost of stoch...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030881/ https://www.ncbi.nlm.nih.gov/pubmed/29040384 http://dx.doi.org/10.1093/bioinformatics/btx645 |