Genome-scale integrative data analysis and modeling of dynamic processes in yeast

Jean Marc Schwartz, Claire Gaugain

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    Building a dynamic model of a complete biological cell is one of the great challenges of the 21st century. While this objective could appear unrealistic until recently, considerable improvements in high-throughput data collection techniques, computational performance, data integration, and modeling approaches now allow us to consider it within reach in the near future. In this chapter, we review recent developments that pave the way toward the construction of genome-scale dynamic models. We first describe methodologies for the integration of heterogeneous "omics" datasets, which enable the interpretation of cellular activity at the genome scale and in fluctuating conditions, providing the necessary input to models. We subsequently discuss principles of such models and describe a series of approaches that open perspectives toward the construction of genome-scale dynamic models. © 2011 Humana Press.
    Original languageEnglish
    Title of host publicationMethods in Molecular Biology|Methods Mol. Biol.
    Subtitle of host publicationMethods in Molecular Biology 759
    PublisherSpringer Nature
    Pages427-443
    Number of pages16
    Volume759
    DOIs
    Publication statusPublished - 2011

    Keywords

    • data integration
    • dynamic model
    • modeling
    • Systems biology

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