Motivation: Fabrication of synthetic biological systems is greatly enhanced by incorporating engineering design principles and techniques such as computer-aided design. To this end, the ongoing standardization of biological parts presents an opportunity to develop libraries of standard virtual parts in the form of mathematical models that can be combined to inform system design. Results: We present an online Repository, populated with a collection of standardized models that can readily be recombined to model different biological systems using the inherent modularity support of the CellML 1.1 model exchange format. The applicability of this approach is demonstrated by modeling gold-medal winning iGEM machines. Availability and Implementatio...
International audienceWe propose a new computational tool to produce models of biological systems by...
We have, in the last few years, witnessed the development and availability of an ever increasing num...
8 Pág.Synthetic biology aims to develop novel biological systems and increase their reproducibility ...
Motivation: Fabrication of synthetic biological systems is greatly enhanced by incorporating enginee...
Modelling and computational simulation are crucial for the large-scale engineering of biological cir...
Modelling and computational simulation are crucial for the large-scale engineering of biological cir...
Modelling and computational simulation are crucial for the large-scale engineering of biological cir...
CellML 1.1 [1] is an XML-based model exchange protocol with inherent support for modularity.
&#x...
Abstract Motivation: Modeling of complex biological systems such as cells, organs or even whole or...
For a system-level understanding of living cells, a quantitative representation of these systems inv...
Computational modeling in biology requires sophisticated software tools. Precise communication and ...
Abstract. Biological research is becoming increasingly complex and data-rich, with multiple public d...
Engineering genetic regulatory circuits is key to the creation of biological applications that are r...
AbstractEngineering genetic regulatory circuits is key to the creation of biological applications th...
Biological researchers increasingly rely on computational models to integrate biological systems kno...
International audienceWe propose a new computational tool to produce models of biological systems by...
We have, in the last few years, witnessed the development and availability of an ever increasing num...
8 Pág.Synthetic biology aims to develop novel biological systems and increase their reproducibility ...
Motivation: Fabrication of synthetic biological systems is greatly enhanced by incorporating enginee...
Modelling and computational simulation are crucial for the large-scale engineering of biological cir...
Modelling and computational simulation are crucial for the large-scale engineering of biological cir...
Modelling and computational simulation are crucial for the large-scale engineering of biological cir...
CellML 1.1 [1] is an XML-based model exchange protocol with inherent support for modularity.
&#x...
Abstract Motivation: Modeling of complex biological systems such as cells, organs or even whole or...
For a system-level understanding of living cells, a quantitative representation of these systems inv...
Computational modeling in biology requires sophisticated software tools. Precise communication and ...
Abstract. Biological research is becoming increasingly complex and data-rich, with multiple public d...
Engineering genetic regulatory circuits is key to the creation of biological applications that are r...
AbstractEngineering genetic regulatory circuits is key to the creation of biological applications th...
Biological researchers increasingly rely on computational models to integrate biological systems kno...
International audienceWe propose a new computational tool to produce models of biological systems by...
We have, in the last few years, witnessed the development and availability of an ever increasing num...
8 Pág.Synthetic biology aims to develop novel biological systems and increase their reproducibility ...