Biological network analyses: Computational genomics and systems approaches

    Research output: Research - peer-reviewArticle

    • 1 Citations

    Abstract

    The complex responses of cells to stimuli are the aggregate of alterations at the genetic, protein, metabolic and cellular levels. The immense quantities of data now available from high-throughput genomic, proteomic and metabolomic sources require specialized analytical approaches. The integration of such data for the computational elucidation and analysis of cellular pathways and networks is an area of considerable current interest. As the quantity of available data continues to increase, strategies to extract the useful information from the data will continue to provide answers to important biological questions. Chemical engineers are actively involved in this field that has taken on the global title of "Systems Biology. These research groups have made considerable impact from both the computational and experimental standpoints. This commentary describes some of the recent contributions of chemical engineering researchers to the computational analysis of high-throughput, multi-source data as described in recent publications and presentations from the 2005 AIChE Annual Meeting.

    LanguageEnglish (US)
    Pages203-209
    Number of pages7
    JournalMolecular Simulation
    Volume32
    Issue number3-4
    DOIs
    StatePublished - Jan 1 2006

    Profile

    Biological Networks
    Genomics
    Throughput
    Chemical engineering
    Engineers
    Proteins
    Systems Biology
    Proteomics
    Metabolomics
    chemical engineering
    biology
    stimuli
    engineers
    proteins
    cells
    High Throughput
    Continue
    Computational Analysis
    Annual
    Pathway

    Keywords

    • Integrated networks
    • Multi-source data
    • Network inference
    • Signaling networks
    • Systems biology

    ASJC Scopus subject areas

    • Atomic and Molecular Physics, and Optics

    Cite this

    Biological network analyses : Computational genomics and systems approaches. / Walton, S. P.; Li, Z.; Chan, C.

    In: Molecular Simulation, Vol. 32, No. 3-4, 01.01.2006, p. 203-209.

    Research output: Research - peer-reviewArticle

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