Viewing the larger context of genomic data through horizontal integration

Matthew Hibbs, Grant Wallace, Maitreya Dunham, Kai Li, Olga G. Troyanskaya

Research output: Contribution to journalConference article

9 Citations (Scopus)

Abstract

Genomics is an important emerging scientific field that relies on meaningful data visualization as a key step in analysis. Specifically, most investigation of gene expression microarray data is performed using visualization techniques. However, as microarrays become more ubiquitous, researchers must analyze their own data within the context of previously published work in order to gain a more complete understanding. No current method for microarray visualization and analysis enables biology researchers to observe the greater context of data that surrounds their own results, which severely limits the ability of researchers draw novel conclusions. Here we present a system, called HIDRA, that visually integrates the simultaneous display of multiple microarray datasets to identify important parallels and dissimilarities. We demonstrate the power of our approach through examples of real-world biological insights that can be observed using HIDRA that are not apparent using other techniques.

Original languageEnglish (US)
Article number4272001
Pages (from-to)326-332
Number of pages7
JournalProceedings of the International Conference on Information Visualisation
DOIs
StatePublished - Oct 23 2007
Event11th International Conference Information Visualization, IV 2007 - Zurich, Switzerland
Duration: Jul 4 2007Jul 6 2007

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Microarrays
Visualization
Data visualization
Gene expression
Display devices

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

Cite this

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Viewing the larger context of genomic data through horizontal integration. / Hibbs, Matthew; Wallace, Grant; Dunham, Maitreya; Li, Kai; Troyanskaya, Olga G.

In: Proceedings of the International Conference on Information Visualisation, 23.10.2007, p. 326-332.

Research output: Contribution to journalConference article

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