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11th International Conference Information Visualization (IV '07)
Visualization of Growth Curve Data from Phenotype Microarray Experiments
Zurich, Switzerland
July 04-July 06
ISBN: 0-7695-2900-3
| ASCII Text | x | ||
| Janet S. Jacobsen, Dominique C. Joyner, Sharon E. Borglin, "Visualization of Growth Curve Data from Phenotype Microarray Experiments," 2010 14th International Conference Information Visualisation, pp. 535-544, 11th International Conference Information Visualization (IV '07), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/IV.2007.131, author = {Janet S. Jacobsen and Dominique C. Joyner and Sharon E. Borglin}, title = {Visualization of Growth Curve Data from Phenotype Microarray Experiments}, journal ={2010 14th International Conference Information Visualisation}, volume = {0}, year = {2007}, issn = {1550-6037}, pages = {535-544}, doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2007.131}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2010 14th International Conference Information Visualisation TI - Visualization of Growth Curve Data from Phenotype Microarray Experiments SN - 1550-6037 SP535 EP544 A1 - Janet S. Jacobsen, A1 - Dominique C. Joyner, A1 - Sharon E. Borglin, PY - 2007 KW - null VL - 0 JA - 2010 14th International Conference Information Visualisation ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2007.131
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.
Citation:
Janet S. Jacobsen, Dominique C. Joyner, Sharon E. Borglin, "Visualization of Growth Curve Data from Phenotype Microarray Experiments," iv, pp.535-544, 11th International Conference Information Visualization (IV '07), 2007
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