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Zurich, Switzerland
July 4, 2007 to July 6, 2007
ISBN: 0-7695-2907-0
pp: 527-534
Brian D. Halligan , Biotechnology & Bioengineering Center, Medical College of Wisconsin
Shama P. Mirza , Biotechnology & Bioengineering Center, Medical College of Wisconsin
Molly C. Pellitteri-Hahn , Biotechnology & Bioengineering Center, Medical College of Wisconsin
Michael Olivier , Biotechnology & Bioengineering Center, Medical College of Wisconsin
Andrew S. Greene , Biotechnology & Bioengineering Center, Medical College of Wisconsin
ABSTRACT
One of the major challenges of large scale mass spectrometry based proteomics experiments is organizing and visualizing the data in such a way so that meaningful biological conclusions can be drawn from the data. Our tool, ZoomQuant, is capable of quantitating relative protein abundance between two samples in stable isotope labeled quantitative proteomics experiments. The resulting protein ratios are then annotated and categorized using the GO ontology terms. Sets of data representing different biological states can then be compared quantitatively and the results formatted for dynamic visualization. Using TreeMap, the user can visualize the quantitative differences between the biological states in a single view. The peptide or scan count and ratio for individual proteins are displayed and organized by the GO ontologies so that the user can easily see the global differences in protein expression between the two samples.
INDEX TERMS
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CITATION
Brian D. Halligan, Shama P. Mirza, Molly C. Pellitteri-Hahn, Michael Olivier, Andrew S. Greene, "Visualizing Quantitative Proteomics Datasets using Treemaps", IV, 2007, 2013 17th International Conference on Information Visualisation, 2013 17th International Conference on Information Visualisation 2007, pp. 527-534, doi:10.1109/IV.2007.136
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