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Bacteria / Escherichia coli / Metabolism / Robustness / Network motif / Endosymbiont / Genome size / Microbial metabolism / Biological network / Biology / Microbiology / Modularity


BMC Evolutionary Biology BioMed Central Open Access
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Document Date: 2012-11-18 05:00:19


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City

Middendorf / Pittsburgh / Handorf / /

Company

SOM / Pearson / Creative Commons / BioMed Central Ltd. / /

Country

United States / /

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Facility

Evolution University of Chicago Press / Weizmann Institute of Science / /

IndustryTerm

present substrate networks / sensory systems / gene-regulation networks / genome-scale metabolic networks / biological systems / non-modular solutions / large networks / bacterial metabolic networks / sub-networks / smallest networks / genome-scale metabolic network / coli network / reaction network / biological networks / minimal metabolic networks / literature search / random network / energy metabolism / metabolic networks / bacteria metabolic networks / metabolic network / sequence/networks / biochemical reaction networks / random networks / metabolic and regulatory networks / biochemical networks / /

Organization

National Institute of Health / Kahn Family Foundation / Molecular Cell Biology Department / Development and Evolution University of Chicago Press / Weizmann Institute of Science / /

Person

E. Sharon / Uri Alon / Merav Parter / Nadav Kashtan / Paul Nurse / /

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Position

MP / scientist / Pennock RT / Corresponding author / author / Cao / Nurse / /

Product

Newman-Girvan / /

ProvinceOrState

Pennsylvania / /

Technology

genomics / Bioinformatics / metabolic networks / Cell Signaling / gene expression / simulation / Newman-Girvan algorithm / /

URL

http /

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