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Exhaustive identification of steady state cycles in large stoichiometric networks
BACKGROUND: Identifying cyclic pathways in chemical reaction networks is important, because such cycles may indicate in silico violation of energy conservation, or the existence of feedback in vivo. Unfortunately, our ability to identify cycles in stoichiometric networks, such as signal transduction...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2478680/ https://www.ncbi.nlm.nih.gov/pubmed/18616835 http://dx.doi.org/10.1186/1752-0509-2-61 |