A novel integrative bioinformatics environment for encoding and interrogating timelapse microscopy images

I. A. Khan, C. J. Hedley, Nick S. White, Reza Ali, M. J. Chappell, N. D. Evans, L. Campbell, N. Marquez, Janet Fisher, P. J. Smith, R. J. Errington

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)

    Abstract

    Image-derived kinetic cell-based assays, where time is the quality parameter, demand unique solutions enabling image encoding and interrogation of spatio-temporal cellular events. Our overall strategy is to derive integrated data mining tools and predictive models capable of producing in-silico cell response fingerprints for use in drug screening, experimental therapeutics and hypothesis-testing for the design of treatment regimens. Critical to realizing this aim is the development of bioinformatics and visualisation tools to address problems of cellular heterogeneity, stochasticity and scaling for the impact of drugs on cell populations and to use these tools in making fundamental advances in our understanding of drug targeting in complex neoplastic systems.

    Original languageEnglish
    Title of host publicationIFAC Proceedings Volumes
    PublisherElsevier
    Pages273-278
    Number of pages6
    Volume39
    ISBN (Electronic)978-390266118-0
    DOIs
    Publication statusPublished - 2006
    Event6th IFAC Symposium on Modeling and Control in Biomedical Systems - Reims, France
    Duration: 20 Aug 200622 Aug 2006

    Publication series

    NameIFAC Proceedings Volumes
    PublisherElsevier
    Number18
    Volume39
    ISSN (Electronic)1474-6670

    Conference

    Conference6th IFAC Symposium on Modeling and Control in Biomedical Systems
    Abbreviated titleMCBMS 2006
    Country/TerritoryFrance
    CityReims
    Period20/08/0622/08/06

    Keywords

    • Bioinformatics encoding
    • Lineage tracking
    • Predictive signatures
    • Quercus data mining
    • Timelapse microscopy

    ASJC Scopus subject areas

    • Control and Systems Engineering

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