Large-scale model predictions by integration of high-throughput data

Research report (imported) 2014 - Max Planck Institute of Molecular Plant Physiology

Kleeßen, Sabrina; Robaina-Estevez, Semidan; Nikoloski, Zoran
Molekulare Physiologie; Forschungsgruppe Systembiologie und Mathematische Modellierung

In modern biology research, essential aspects of the accumulated genomic and biochemical knowledge are often described as mathematical formulas resulting in metabolic models. These models can be readily used to make predictions. Because of the increasing amount of available high-throughput technologies, there is need for the development of methods allowing the characterization of the activity patterns of metabolic pathways. The ultimate goal of integrating these methods and data is to enhance understanding of plant growth and to improve it.

For the full text, see the German version.

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