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dc.contributor.authorReber, Seanen_US
dc.contributor.authorZhao, Yeen_US
dc.contributor.authorZhang, Lien_US
dc.contributor.authorOrloff, Mohammeden_US
dc.contributor.authorEng, Charisen_US
dc.contributor.editorM. Pohl and H. Schumannen_US
dc.date.accessioned2014-01-27T16:03:38Z
dc.date.available2014-01-27T16:03:38Z
dc.date.issued2013en_US
dc.identifier.isbn978-3-905674-55-2en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE.EuroVAST.EuroVA13.037-041en_US
dc.description.abstractWe propose a new visual analytics system designed for genetic researchers to study genome-wide homozygosity regions. Finding significant tracts of homozygosity (TOH) using single nucleotide polymorphisms (SNPs) from a large-scale genome data set can contribute to the discovery of genetic factors related to human diseases. Our system helps users to visually examine TOH clusters computed from the underlying patient data, lending itself a convenient and powerful tool for knowledge discovery. We illustrate the usability and performance of the system with a clinical data set of human cancers.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleVisual Analysis of Tracts of Homozygosity in Human Genomeen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analyticsen_US


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