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...

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Detalles Bibliográficos
Autores principales: Pájaro, Manuel, Otero-Muras, Irene, Vázquez, Carlos, Alonso, Antonio A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
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

Internet

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

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