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Complex network tools such as Cytoscape enable conversion of biological data to complex networks (Cline et al. 2007).
The Cell Collective platform includes Bio-Logic Builder to facilitate the conversion of biological knowledge into a computational model [ 59].
In other cases, the conversion of biological data can be more challenging, due to for example the complex structure of many biological datasets, their often stochastic nature, the presence of missing values and scaling issues.
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Biorefinery was the most common technology for conversions of biological feedstock and life cycle assessment was the most popular tool of decision support to evaluate the sustainability of biofuel development.
The translation process involves conversion of the biological knowledge description into biological criteria and transformation of these criteria into computational rules.
Product systems have two main drawbacks, one is that the efficiency of the conversion of the biological substrate to hydrogen is quite low, and the other is that hydrogen oxidation requires high fuel cell temperatures.
This new pretreatment technology followed and simulated efficient conversion of natural biological way from nature.
Such a nonlinear phenomenon is considered as the conversion of a biological system from one phenotype/state to another.
A grand challenge of biomathematical modeling is the conversion of a biological system into a computational structure that formalizes the underlying system.
The idea of biological conversion of CO2 to fuel and chemicals is receiving increased attention.
The use of these complexes in areas such as solar energy conversion and the probe of biological systems are also discussed.
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