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dc.contributor.authorStolk, Bramen_US
dc.contributor.authorAbdoelrahman, Faizalen_US
dc.contributor.authorKoning, Antonen_US
dc.contributor.authorWielinga, Paulen_US
dc.contributor.editorD. Bartz and X. Pueyo and E. Reinharden_US
dc.date.accessioned2014-01-26T16:21:09Z
dc.date.available2014-01-26T16:21:09Z
dc.date.issued2002en_US
dc.identifier.isbn1-58113-579-3en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGPGV/EGPGV02/017-022en_US
dc.description.abstractThe analysis of genomic data and integration of diverse biological data sources has become increasingly difficult for researches in the life sciences. This problem is exacerbated by the speed with which new data is gathered through automated technology like DNA microarrays. We developed a virtual reality application for visualizing hierarchical relationships within a gene family and for visualizing networks of gene expression data. Integration of other information from multiple databases with these visualizations can aid pharmaceutical researchers in selecting target genes or proteins for new drugs. We found the application of virtual reality to the field of genomics to be successfull.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleMining the Human Genome using Virtual Realityen_US
dc.description.seriesinformationEurographics Workshop on Parallel Graphics and Visualizationen_US


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