{"title":"A cooperative environment for genetic variance analysis using component database for database integration","authors":"Nawaz Khan, A. Stockman, S. Rahman","doi":"10.1109/CBMS.2002.1011407","DOIUrl":null,"url":null,"abstract":"This paper reviews 'database interoperability' problems and suggests a framework for integrating molecular biology databases. It suggests a component database for gene mutation data which is subject-oriented and dedicated to a particular research laboratory, and outlines how to develop a cooperative environment for molecular biology databases to share information based on a common view. The paper also establishes the concept of image object keying for multi-database querying and it proposes a matching algorithm using gel electrophoresis images. This image object keying method could replace the conventional SQL scripts for multi-database querying.","PeriodicalId":369629,"journal":{"name":"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2002.1011407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper reviews 'database interoperability' problems and suggests a framework for integrating molecular biology databases. It suggests a component database for gene mutation data which is subject-oriented and dedicated to a particular research laboratory, and outlines how to develop a cooperative environment for molecular biology databases to share information based on a common view. The paper also establishes the concept of image object keying for multi-database querying and it proposes a matching algorithm using gel electrophoresis images. This image object keying method could replace the conventional SQL scripts for multi-database querying.