Facilitating Pharmacogenetic Association Studies Using an Extensible Genotype Information Management System

dc.contributor.advisorMooney, Sean D.
dc.contributor.authorFletcher, Rebecca
dc.date.accessioned2009-11-05T21:29:06Z
dc.date.available2009-11-05T21:29:06Z
dc.date.issued2009-11-05T21:29:06Z
dc.degree.date2008-05
dc.degree.disciplineBioinformatics
dc.degree.grantorIndiana University
dc.degree.levelMaster of Science
dc.description.abstractLarge-scale genome data projects employing automated, high-throughput techniques have led to a deluge of genomic data that necessitate robust informatic solutions. COBRA-DB is an integrated web-based genome information management system that provides storage for pharmacogenomic information including genotypic, phenotypic and resequencing data. The system provides an integrated solution for the acquisition, organization, storage, retrieval and analysis of pharmacogenomic data and offers a platform for genome annotation and analysis. The system also includes an export utility to automate submission of data to other bioinformatic resources and public data repositories. A web interface provides flexible data import and export options and allows users to access and download data via simple query forms. The COBRA database is dedicated to the efficient management of pharmacogenomic data with the intent to facilitate genotype-phenotype association studies and catalyze pharmacogenomic research. COBRA-DB is an internal, proprietary application in use by the Division of Clinical Pharmacology at Indiana University School of Medicine.en
dc.description.sponsorshipThis research is supported by NIGMS grant UO1-GM61373-05, Tamoxifen Pharmacogenetics and Clinical Effects, (Principle Investigator: David Flockhart, MD, PhD), NLM grant 5-K22-LM009135-02, Bioinformatics approaches to characterizing amino acid function, (Principle Investigator: Sean Mooney, PhD) and funds provided through an INGEN grant. The Indiana Genomics Initiative (INGEN) is supported in part by the Lilly Endowment.en
dc.identifier.urihttps://hdl.handle.net/1805/1998
dc.identifier.urihttp://dx.doi.org/10.7912/C2/806
dc.language.isoen_USen
dc.titleFacilitating Pharmacogenetic Association Studies Using an Extensible Genotype Information Management Systemen
dc.typeThesisen
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