DocumentCode :
3042010
Title :
Visualization of Growth Curve Data from Phenotype Microarray Experiments
Author :
Jacobsen, J.S. ; Joyner, D.C. ; Borglin, S.E. ; Hazen, T.C. ; Arkin, A.P. ; Bethel, E. Wes
Author_Institution :
Lawrence Berkeley Nat. Lab., Livermore
fYear :
2007
fDate :
4-6 July 2007
Firstpage :
535
Lastpage :
544
Abstract :
Phenotype microarrays provide a technology to simultaneously survey the response of an organism to nearly 2,000 substrates, including carbon, nitrogen and potassium sources; varying pH; varying salt concentrations; and antibiotics. In order to more quickly and easily view and compare the large number of growth curves produced by phenotype microarray experiments, we have developed software to produce and display color images, each of which corresponds to a set of 96 growth curves. Using color images to represent growth curves data has proven to be a valuable way to assess experiment quality, compare replicates, facilitate comparison of the responses of different organisms, and identify significant phenotypes. The color images are linked to traditional plots of growth versus time, as well as to information about the experiment, organism, and substrate. In order to share and view information and data project-wide, all information, plots, and data are accessible using only a Web browser.
Keywords :
biology computing; data visualisation; genetics; image colour analysis; online front-ends; Web browser; color image production software; growth curve data visualization; phenotype microarray experiment; Chemical analysis; Chemical technology; Color; Computer displays; Data visualization; Laboratories; Organisms; Shape; Software tools; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2007. IV '07. 11th International Conference
Conference_Location :
Zurich
ISSN :
1550-6037
Print_ISBN :
0-7695-2900-3
Type :
conf
DOI :
10.1109/IV.2007.131
Filename :
4272032
Link To Document :
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