@article{ETD,
      school = {M.S.},
      author = {McGraw, Angie B.},
      url = {http://digitalcollections.ohsu.edu/record/10076},
      title = {An evaluation of best practices for clinical laboratory  improvement amendments (CLIA) bioinformatics pipelines},
      publisher = {Oregon Health and Science University},
      abstract = {Next-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.},
      number = {ETD},
      doi = {https://doi.org/10.6083/qr46r1659},
      recid = {10076},
      address = {2023},
}