The translation of microbiome research into clinically actionable biomarkers is fraught with methodological and conceptual challenges.
This article provides a comprehensive framework for integrating negative and positive controls to enhance the reliability of microbiome research.
Microbiome sequence data are inherently compositional, with relative abundances constrained by a constant sum, leading to spurious correlations and analytical challenges if ignored.
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on managing cage effects and implementing cohousing strategies in animal microbiome studies.
Variation between batches of DNA extraction kits is a critical, often overlooked, source of technical bias in microbiome studies.
This article provides a comprehensive guide for researchers and drug development professionals on performing statistically sound power and sample size calculations for microbiome studies.
Microbiome data from high-throughput sequencing are characterized by zero-inflation and overdispersion, posing significant challenges for robust statistical analysis in biomedical and clinical research.
This article provides a comprehensive guide to normalization and filtering for 16S rRNA and shotgun metagenomic data, tailored for researchers and drug development professionals.
This article provides a comprehensive framework for researchers and drug development professionals to address the critical challenge of contamination in low microbial biomass microbiome studies.
This article synthesizes the rapid evolution of microbiome science from a research field to a cornerstone of clinical innovation.