Computational bioimaging and informatics, II
Mathematical Systems Biology of Cancer
May 05, 2006 09:15 AM to 10:00 AM
Speakers:
Parvin, Bahram
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Abstract: |
Organisms express their genome in a cell-specific manner, resulting in a variety of
cellular phenotypes or phenomes. Mapping cell phenomes under different experimental conditions
is necessary for understanding and modeling the responses of organisms. From the experimental
perspective, such mapping requires an effective model system and assays that facilitate
visualization of each specific endpoint. From the computational perspective, such mapping requires
detailed annotations that are tightly coupled with computed quantitative representation for
subsequent modeling and comparative analysis. In this talk, instrumentation, computational and
informatics techniques are presented to meet the challenges of high content analysis for data
collected through each mode of optical microscopy and each specific assay. In order to
systematically collect image data for high-throughput analyses, required for systems biology,
imaging systems will be described that permit or enforce highly structured image acquisition.
Considering the importance of understanding the imaging (and specimen preparation) procedures
in order to properly analyze the data, significant emphasis will be put on the details of image
formation. Computational methods capture a spatial configuration of pertinent events, such as
localization or binding efficiency, through an undirected attributed graph representation, while the
informatics framework provides the foundation for detailed annotation, experimental design,
robotics interface, and organization of data for subsequent comparative and multiscale analysis.
One critical component is to leverage and couple annotation and corresponding data with emerging
new standards in imaging and bioinformatics. Another component is effective visualization of data
and computed representation. |
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