Successful strategies for human microbiome data generation, storage and analyses.

Successful strategies for human microbiome data generation, storage and analyses. J Biosci. 2019 Oct;44(5): Authors: Holmes S Abstract Current interest in the potential for clinical use of new tools for improving human health are now focused on techniques for the study of the human microbiome and its interaction with environmental and clinical covariates. This review outlines the use of statistical strategies that have been developed in past studies and can inform successful design and analyses of controlled perturbation experiments performed in the human microbiome. We carefully outline what the data are, their imperfections and how we need to transform, decontaminate and denoise them. We show how to identify the important unknown parameters and how to can leverage variability we see to produce efficient models for prediction and uncertainty quantification. We encourage a reproducible strategy that builds on best practice principles that can be adapted for effective experimental design and reproducible workflows. Nonparametric, data-driven denoising strategies already provide the best strain identification and decontamination methods. Data driven models can be combined with uncertainty quantification to provide reproducible aids to decision making in the clinical context, as long as careful, separate, registered confirmatory testing are undertaken. Here we provide guidelines for effective longitudinal studies and their analyses. Les...
Source: Journal of Biosciences - Category: Biomedical Science Authors: Tags: J Biosci Source Type: research