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Inferring the connectivity of a regulatory network from mRNA quantification in Synechocystis PCC6803
A major task of contemporary biology is to understand and predict the functioning of regulatory networks. We use expression data to deduce the regulation network connecting the sigma factors of Synechocystis PCC6803, the most global regulators in bacteria. Synechocystis contains one group 1 (SigA) a...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2005
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1145192/ https://ncbi.nlm.nih.gov/pubmed/15944453 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gki654 |
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