000002962 001__ 2962
000002962 005__ 20250424232805.0
000002962 0247_ $$2DOI$$a10.6083/M4M044CH
000002962 037__ $$aETD
000002962 245__ $$aHow can an interactive visual analytics tool help biomedical scientists investigate genotype-phenotype relationships?
000002962 260__ $$bOregon Health and Science University
000002962 269__ $$a2015
000002962 336__ $$aThesis
000002962 502__ $$bM.S.
000002962 520__ $$aGenotypes and phenotypes are fundamental to many areas of the life sciences. Biomedical and animal model databases contain a wealth of information about genetics, genomics, embryonic development, phenotypes, and diseases, presenting biomedical researchers the opportunity to uncover human disease mechanisms. Currently, how- ever, investigators lack suitable informatics tools to effectively meet the challenge of traversing these rich datasets, synthesizing the biology described therein, and identifying gaps in our knowledge that need further research. In this study, I address the question of how a visual analytics tool can help scientists investigate these important biological relationships.
000002962 540__ $$fCC BY
000002962 542__ $$fIn copyright - single owner
000002962 650__ $$aSoftware$$026159
000002962 650__ $$aGenotype$$019486
000002962 650__ $$aPhenotype$$023948
000002962 650__ $$aInformatics$$036046
000002962 650__ $$aModels, Animal$$033025
000002962 691__ $$aSchool of Medicine$$041369
000002962 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000002962 7001_ $$aSegerdell, Erik$$uOregon Health and Science University$$041354
000002962 7201_ $$aWilmot, Beth$$uOregon Health and Science University$$041354$$7Personal$$eMentor
000002962 8564_ $$9a873a3ca-4e23-4bf3-a250-405a5d6f4157$$s2360209$$uhttps://digitalcollections.ohsu.edu/record/2962/files/3736_etd.pdf$$ePublic$$28411f8c21a6aa611a703ea859ca87f37$$31
000002962 905__ $$a/rest/prod/tb/09/j5/90/tb09j590q
000002962 909CO $$ooai:digitalcollections.ohsu.edu:2962$$pstudent-work
000002962 980__ $$aBiomedical Informatics