Jevan T. Gray

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Multiresolution methods provide a means for representing data at multiple levels of detail. They are typically based on a hierarchical data organization scheme and update rules needed for data value computation. We use a data organization that is based on what we call n 2 subdivision. The main advantage of n 2 subdivision, compared to quadtree (n 2) or(More)
Telomeres of Oxytricha nova macronuclear chromosomes consist of a repeated T4G4 sequence, single-stranded at the 3' terminus, bound by a heterodimeric protein. The cloning of genes for the two polypeptides and their separate expression in E. coli have enabled evaluation of their individual contributions to DNA binding. The 56 kd alpha subunit binds(More)
We describe an adaptive isosurface visualization scheme designed for perspective rendering, taking into account the center of interest and other viewer-specified parameters. To hierarchically decompose a given data domain into a multiresolution data structure, we implement and compare two spatial subdivision data structures: an octree and a recursively(More)
Adaptive, and especially view-dependent, volume visual-ization is used to display large volume data at interactive frame rates preserving high visual quality in specified or implied regions of importance. In typical approaches, the error metrics and refinement oracles used for view-dependent rendering are based on viewing parameters only. The approach(More)
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