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Article
A bottom-up approach to gene regulation
The ability to construct synthetic gene networks enables experimental investigations of deliberately simplified systems that can be compared to qualitative and quantitative models1,2,3,4,5,6,7,8,9,10,11,12,13,14,
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Article
Open AccessBiochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true for pathways that involve transcriptional ...
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Article
Noise-Stabilized Long-Distance Synchronization in Populations of Model Neurons
Rhythmic, synchronous firing of groups of neurons is associated with behaviorally relevant states, and it is thus of interest to understand the mechanisms by which synchronization may be achieved. In hippocamp...
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Article
Engineered gene circuits
A central focus of postgenomic research will be to understand how cellular phenomena arise from the connectivity of genes and proteins. This connectivity generates molecular network diagrams that resemble comp...
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Article
Computational studies of gene regulatory networks: in numero molecular biology
Post-genomic research will involve analysing the dynamics of gene regulation.
Recent advances are making...
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Chapter
The ECESIS Economic-Demographic Model of the United States
ECESIS is an interregional economic-demographic model of the United States. It consists of 51 regional econometric models (one for each state and the District of Columbia) and a multiregional demographic model...