A Sensitivity Analysis of Methodological Variables Associated with Microbiome Measurements
S. P. Forry, S. L. Servetas, J. N. Dootz, M. E. Hunter, J. G. Kralj, J. J. filliben, S. A. Jackson
This study quantifies methodological biases in microbiome sequencing and shows how to improve dataset comparability across different protocols.
bioRxiv · Dec 12, 2023Microbiology