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Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach

MPS-Authors
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Steinfath,  M.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Strehmel,  N.
Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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

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Groth,  D.
BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Hummel,  J.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;
BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Selbig,  J.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Kopka,  J.
Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Geigenberger,  P.
Storage Carbohydrate Metabolism, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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van Dongen,  J. T.
Energy Metabolism, Department Bock, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Citation

Steinfath, M., Strehmel, N., Peters, R., Schauer, N., Groth, D., Hummel, J., et al. (2010). Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach. Plant Biotechnology Journal, 8(8), 900-911. doi:10.1111/j.1467-7652.2010.00516.x.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-230B-0
Abstract