{"title":"Design and development of a genomic information system to manage breast cancer data","authors":"V. Coll","doi":"10.1109/RCIS.2012.6240462","DOIUrl":null,"url":null,"abstract":"The heterogeneity and dispersion of genomic data that currently exists between the multiple genomic databases is a big problem for the geneticists when they look for information for their genomic diagnosis. This problem is especially important when it is referred to genetic data about breast cancer due to the large amount of data available about this disease caused by the high incidence in society. The work in this Doctoral Thesis expects to solve this problem by analyzing all available information about breast cancer in the databases and integrating it into an information system created following the Conceptual Modeling rules. With this information system the data about breast cancer will be stored in one efficient and well-structured database, making it easier for geneticists searching for information about this disease.","PeriodicalId":130476,"journal":{"name":"2012 Sixth International Conference on Research Challenges in Information Science (RCIS)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Sixth International Conference on Research Challenges in Information Science (RCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2012.6240462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The heterogeneity and dispersion of genomic data that currently exists between the multiple genomic databases is a big problem for the geneticists when they look for information for their genomic diagnosis. This problem is especially important when it is referred to genetic data about breast cancer due to the large amount of data available about this disease caused by the high incidence in society. The work in this Doctoral Thesis expects to solve this problem by analyzing all available information about breast cancer in the databases and integrating it into an information system created following the Conceptual Modeling rules. With this information system the data about breast cancer will be stored in one efficient and well-structured database, making it easier for geneticists searching for information about this disease.