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Green Image
Issue No. 07 - July (2002 vol. 35)
ISSN: 0018-9162
pp: 65-71
Bahram Parvin , Lawrence Berkeley National Laboratory
Qing Yang , LBNL
<p> Using genomic information to understand complex organisms requires comprehensive knowledgeof the dynamics of phenotype generation and maintenance. A phenotype results from selective expression of the genome, creating a history of the cell and its response to the extracellular environment. Defining cell phenomes requires tracking the kinetics and quantities ofmultiple constituent proteins, their cellular context, and their morphologicalfeatures in large populations.</p><p>The BioSig imaging bioinformatic system for characterizing phenomicsanswers these challenges. The BioSig approach to microscopy and quantitative image analysis helps to build a more detailed picture of the signaling that occurs between cells as a response toexogenous stimulus such as radiation or as a consequence of endogenous programs leading to biological functions. The system provides a data model for capturing experimental annotations and variables, computational techniques for summarizing large numbers of images, and a distributedarchitecture that facilitates distant collaboration.</p>

B. Parvin, Q. Yang, G. Fontenay and M. H. Barcellos-Hoff, "BioSig: An Imaging Bioinformatic System for Studying Phenomic," in Computer, vol. 35, no. , pp. 65-71, 2002.
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