Measures of reproducibility in sampling and laboratory processing methods in high-throughput microbiome analysis
Patricia Vera-Wolf, Juan P. Cárdenas, Amanda M. Morton, Tomás Norambuena, Rafael Torres, Luis E. Leon, Elisabeth M. Bik, Juan A. Ugalde, Daniel E. Almonacid, Jessica Richman, Zachary S Apte
This study assesses reproducibility in microbiome analysis by evaluating sampling, storage, and laboratory processing variations, finding that subject identity is the largest determinant of variation.
bioRxiv · May 15, 2018 · PreprintMicrobiology