R. M. Adams, Blaze Stancampiano, Michael McKenna, David Small
{"title":"Case study: A virtual environment for genomic data visualization","authors":"R. M. Adams, Blaze Stancampiano, Michael McKenna, David Small","doi":"10.1109/VISUAL.2002.1183818","DOIUrl":null,"url":null,"abstract":"With the completion of the human genome sequence, and with the proliferation of genome-related annotation data, the need for scalable and more intuitive means for analysis becomes critical, At Variagenics and Small Design Firm, we have addressed this problem with a coherent three-dimensional space in which all data can be seen in a single context. This tool aids in integrating information at vastly divergent scales while maintaining accurate spatial and size relationships. Our visualization was successful in communicating to project teams with diverse backgrounds the magnitude and biological implication of genetic variation.","PeriodicalId":196064,"journal":{"name":"IEEE Visualization, 2002. VIS 2002.","volume":"256 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Visualization, 2002. VIS 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISUAL.2002.1183818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
With the completion of the human genome sequence, and with the proliferation of genome-related annotation data, the need for scalable and more intuitive means for analysis becomes critical, At Variagenics and Small Design Firm, we have addressed this problem with a coherent three-dimensional space in which all data can be seen in a single context. This tool aids in integrating information at vastly divergent scales while maintaining accurate spatial and size relationships. Our visualization was successful in communicating to project teams with diverse backgrounds the magnitude and biological implication of genetic variation.