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Automating Data Acquisition Into Ontologies From Pharmacogenetics Relational Data Sources Using Declarative Object Definitions And XML

By Daniel L. Rubin, Micheal Hewett, Diane E. Oliver, Teri E. Klein, Russ B. Altman, Russ and B. Altman

Abstract

eous information sources in order make the diversity of pharmacogenetics data amenable to computational analysis. 1 Introduction 1.1 Pharmacogenetics and the need to connect diverse data Connecting genotype and phenotype data is the quest of pharmacogenetics ---a discipline that seeks to understand how inherited genetic differences among people influence their response to drugs. Discovering important relationships between genes and drugs could lead to personalized medicine, where drug therapy is customized according to the genetic constitution of the patient. Thus, there is great interest in rapidly acquiring genotype and phenotype data in many individuals, and clinical trials in the future will routinely collect genotype as well as phenotype information. 1 Modern experimental methods such as high-throughput DNA sequencing techniques and gene-expression microarrays are contributing detailed genetic and phenotypic information at a rapid rate. 2,3 These abundant and diverse

Year: 2002
OAI identifier: oai:CiteSeerX.psu:10.1.1.18.7803
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