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Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research

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Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research

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Fuente, D.; Garibo I Orts, Ó.; Conejero, JA.; Urchueguía Schölzel, JF. (2020). Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research. Mathematics. 8(8):1-20. https://doi.org/10.3390/math8081362

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Título: Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research
Autor: Fuente, David Garibo i Orts, Óscar Conejero, J. Alberto Urchueguía Schölzel, Javier Fermín
Entidad UPV: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Fecha difusión:
Resumen:
[EN] The recent success of biological engineering is due to a tremendous amount of research effort and the increasing number of market opportunities. Indeed, this has been partially possible due to the contribution of ...[+]
Palabras clave: Mathematics , Synthetic biology , Education , Finite state machine , Noise , Cellular automaton , Reaction-diffusion system
Derechos de uso: Reconocimiento (by)
Fuente:
Mathematics. (eissn: 2227-7390 )
DOI: 10.3390/math8081362
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/math8081362
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//MTM2016-75963-P/ES/DINAMICA DE OPERADORES/
Agradecimientos:
D.F. was supported by an internal grant from Palacky University Olomouc (no. IGA_PrF_2020_028) and J.A.C. by MEC, grant number MTM2016-75963-P.
Tipo: Artículo

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