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Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis thaliana

MPS-Authors
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Wu,  S.
Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Alseekh,  S.
Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Cuadros-Inostroza,  A. C.
Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Fusari,  C. M.
System Regulation, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Mutwil,  M.
Regulatory Networks, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Fernie,  A. R.
Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Willmitzer,  L.
Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Brotman,  Y.
Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Citation

Wu, S., Alseekh, S., Cuadros-Inostroza, A. C., Fusari, C. M., Mutwil, M., Kooke, R., et al. (2016). Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis thaliana. PLoS Genetics, 12(10): e1006363. doi:dx.doi.org/10.1371/journal.pgen.1006363.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002B-B4DA-1
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