P. McDermott, J. Sinnott, D. Thorne, S. Pettifer, T. Attwood
{"title":"An Architecture for Visualisation and Interactive Analysis of Proteins","authors":"P. McDermott, J. Sinnott, D. Thorne, S. Pettifer, T. Attwood","doi":"10.1109/CMV.2006.3","DOIUrl":null,"url":null,"abstract":"Data sets in the biological domain are often semantically complex and difficult to integrate and visualise. Converting between the file formats required by interactive analysis tools and those used by the global databases is a costly and error prone process. This paper describes a data model designed to enable efficient rendering of and interaction with biological data, and two demonstrator applications from different fields of protein analysis that provide co-ordinated views of data held in the underlying model","PeriodicalId":193049,"journal":{"name":"Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV'06)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMV.2006.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Data sets in the biological domain are often semantically complex and difficult to integrate and visualise. Converting between the file formats required by interactive analysis tools and those used by the global databases is a costly and error prone process. This paper describes a data model designed to enable efficient rendering of and interaction with biological data, and two demonstrator applications from different fields of protein analysis that provide co-ordinated views of data held in the underlying model
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