Visualization of Growth Curve Data from Phenotype Microarray Experiments

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Phenotype microarrays provide a technology to simultaneouslysurvey the response of an organism to nearly 2,000 substrates, includingcarbon, nitrogen and potassium sources; varying pH; varying saltconcentrations; and antibiotics. In order to more quickly and easily viewand compare the large number of growth curves produced by phenotypemicroarray experiments, we have developed software to produce and displaycolor images, each of which corresponds to a set of 96 growth curves.Using color images to represent growth curves data has proven to be avaluable way to assess experiment quality, compare replicates, facilitatecomparison of the responses of different organisms, and identifysignificant phenotypes. The color images are linked ... continued below

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Jacobsen, Janet S.; Joyner, Dominique C.; Borglin, Sharon E.; Hazen, Terry C.; Arkin, Adam P. & Bethel, E. Wes April 19, 2007.

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Phenotype microarrays provide a technology to simultaneouslysurvey the response of an organism to nearly 2,000 substrates, includingcarbon, nitrogen and potassium sources; varying pH; varying saltconcentrations; and antibiotics. In order to more quickly and easily viewand compare the large number of growth curves produced by phenotypemicroarray experiments, we have developed software to produce and displaycolor images, each of which corresponds to a set of 96 growth curves.Using color images to represent growth curves data has proven to be avaluable way to assess experiment quality, compare replicates, facilitatecomparison of the responses of different organisms, and identifysignificant phenotypes. The color images are linked to traditional plotsof growth versus time, as well as to information about the experiment,organism, and substrate. In order to share and view information and dataproject-wide, all information, plots, and data are accessible using onlya Web browser.

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  • 11th International Conference InformationVisualization IV07, Zurich, Switzerland, July 4-6,2007

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  • Report No.: LBNL--63251
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 925593
  • Archival Resource Key: ark:/67531/metadc899094

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  • April 19, 2007

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  • Sept. 27, 2016, 1:39 a.m.

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  • Sept. 21, 2017, 3:41 p.m.

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Jacobsen, Janet S.; Joyner, Dominique C.; Borglin, Sharon E.; Hazen, Terry C.; Arkin, Adam P. & Bethel, E. Wes. Visualization of Growth Curve Data from Phenotype Microarray Experiments, article, April 19, 2007; (digital.library.unt.edu/ark:/67531/metadc899094/: accessed September 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.