Visual Analysis of Tracts of Homozygosity in Human Genome
Abstract
We 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.
BibTeX
@inproceedings {10.2312:PE.EuroVAST.EuroVA13.037-041,
booktitle = {EuroVis Workshop on Visual Analytics},
editor = {M. Pohl and H. Schumann},
title = {{Visual Analysis of Tracts of Homozygosity in Human Genome}},
author = {Reber, Sean and Zhao, Ye and Zhang, Li and Orloff, Mohammed and Eng, Charis},
year = {2013},
publisher = {The Eurographics Association},
ISBN = {978-3-905674-55-2},
DOI = {10.2312/PE.EuroVAST.EuroVA13.037-041}
}
booktitle = {EuroVis Workshop on Visual Analytics},
editor = {M. Pohl and H. Schumann},
title = {{Visual Analysis of Tracts of Homozygosity in Human Genome}},
author = {Reber, Sean and Zhao, Ye and Zhang, Li and Orloff, Mohammed and Eng, Charis},
year = {2013},
publisher = {The Eurographics Association},
ISBN = {978-3-905674-55-2},
DOI = {10.2312/PE.EuroVAST.EuroVA13.037-041}
}