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SLocX: predicting subcellular localization of Arabidopsis proteins leveraging gene expression data

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Ryngajllo,  M.
Integrative Carbon Biology, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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

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Lohse,  M.
Integrative Carbon Biology, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Giorgi,  F. M.
Integrative Carbon Biology, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Lude,  A.
Integrative Carbon Biology, Department Stitt, 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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Usadel,  B.
Integrative Carbon Biology, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Citation

Ryngajllo, M., Childs, L., Lohse, M., Giorgi, F. M., Lude, A., Selbig, J., et al. (2011). SLocX: predicting subcellular localization of Arabidopsis proteins leveraging gene expression data. Frontiers in Plant Science, 2, 43. doi:10.3389/fpls.2011.00043.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-20E3-2
Abstract