000010076 001__ 10076
000010076 005__ 20240124114335.0
000010076 0247_ $$2DOI$$a10.6083/qr46r1659
000010076 037__ $$aETD
000010076 245__ $$aAn evaluation of best practices for clinical laboratory improvement amendments (CLIA) bioinformatics pipelines
000010076 260__ $$bOregon Health and Science University
000010076 269__ $$a2023
000010076 336__ $$aThesis
000010076 502__ $$bM.S.
000010076 520__ $$aNext-generation sequencing (NGS) technologies have provided opportunities for developing personalized treatments for patients. Given the rapid advances in technology and computational complexity, there may be gaps in best practices and guidelines to support the current challenges facing Clinical Laboratory Improvement Amendments (CLIA) laboratories. Whole-genome sequencing (WGS), an NGS technology, allows for the exponential generation of human sequencing data. Bioinformatics and computational pipelines have taken advantage of these data to generate new mechanisms to aid in predicting patient treatment responses and adjusting treatments accordingly.
000010076 650__ $$aGenomics$$033016
000010076 650__ $$aComputational Biology$$031511
000010076 6531_ $$abioinformatics
000010076 6531_ $$aclinical laboratories
000010076 691__ $$aSchool of Medicine$$041369
000010076 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000010076 7001_ $$aMcGraw, Angie B.
000010076 8564_ $$9dd451f9f-24a8-4a36-b29d-6d3bcd40dae9$$s5880234$$uhttps://digitalcollections.ohsu.edu/record/10076/files/McGraw.Angie._2023.pdf
000010076 905__ $$a/rest/prod/qr/46/r1/65/qr46r1659
000010076 909CO $$ooai:digitalcollections.ohsu.edu:10076$$pstudent-work
000010076 980__ $$aTheses and Dissertations