Gene module level analysis: identification to networks and dynamics

Xuewei Wang, Ertugrul Dalkic, Ming Wu, Christina Chan

    Research output: Contribution to journalArticle

    • 58 Citations

    Abstract

    Nature exhibits modular design in biological systems. Gene module level analysis is based on this module concept, aiming to understand biological network design and systems behavior in disease and development by emphasizing on modules of genes rather than individual genes. Module level analysis has been extensively applied in genome wide level analysis, exploring the organization of biological systems from identifying modules to reconstructing module networks and analyzing module dynamics. Such module level perspective provides a high level representation of the regulatory scenario and design of biological systems, promising to revolutionize our view of systems biology, genetic engineering as well as disease mechanisms and molecular medicine.

    Original languageEnglish (US)
    Pages (from-to)482-491
    Number of pages10
    JournalCurrent Opinion in Biotechnology
    Volume19
    Issue number5
    DOIs
    StatePublished - Oct 2008

    Profile

    Gene Regulatory Networks
    Cyclic AMP Receptor Protein
    Genes
    Catatonia
    Biological systems
    Molecular Medicine
    Genetic Engineering
    Systems Biology
    Genome
    Supravalvular Aortic Stenosis
    Spontaneous Fractures
    Dental Pulp Calcification
    Aortic Valve Stenosis
    Genetic engineering
    Medicine

    ASJC Scopus subject areas

    • Biotechnology
    • Bioengineering
    • Biomedical Engineering

    Cite this

    Gene module level analysis : identification to networks and dynamics. / Wang, Xuewei; Dalkic, Ertugrul; Wu, Ming; Chan, Christina.

    In: Current Opinion in Biotechnology, Vol. 19, No. 5, 10.2008, p. 482-491.

    Research output: Contribution to journalArticle

    Wang, Xuewei; Dalkic, Ertugrul; Wu, Ming; Chan, Christina / Gene module level analysis : identification to networks and dynamics.

    In: Current Opinion in Biotechnology, Vol. 19, No. 5, 10.2008, p. 482-491.

    Research output: Contribution to journalArticle

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