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Sentence examples for models of organisms from inspiring English sources

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This is no longer realistic (nor necessary) in an age of post-genomics, the internet, Web 2.0 and systems biology, and when we are starting to move to integrative (if distributed) models of organisms (including humans) at a whole organ, genome or whole organism scale [ 118, 2135, 2407 - 2416]

Here, we describe key technologies and insights that have elucidated the evolution, architecture, and function of cellular networks, ultimately leading to the first predictive genome-scale regulatory and metabolic models of organisms.

Few genome-scale models of organisms focus on the regulatory networks and none of them integrates all known levels of regulation.

Subsequent to generation of well-curated metabolic network models of organisms, several downstream applications can be used to explore the emergent system's properties.

The comparative analysis capabilities of ITEP can be used to generate draft metabolic networks as a starting point for generating high-quality metabolic models of organisms based on their similarity (or lack of similarity) to related genomes.

Similar(55)

That effort identified the need for a robust core model of organisms as dynamic wholes, using advanced and adequately computable mathematics.

Higher fidelity in silico modeling of organisms provides the foundation for the eventual integration of metabolic information with gene regulation and signaling networks to model biological phenomena.

A model of organisms as well-designed machines optimizing well-defined fitness functions is implicit in much of traditional physiology and modern systems biology (as well as in the preceding paragraph).

In silico organisms are computational models of biological organisms.

Although a large majority of these genome-scale metabolic models are of prokaryotic organisms, genome-scale metabolic models of eukaryotic organisms exist and have contributed in the study of eukaryotic metabolism [ 2, 6].

Biogeography-Based Optimization (BBO) is an evolutionary optimization algorithm based on a mathematical model of organism distribution.

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