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.
This article provides a comprehensive overview of the rapidly evolving field of microbiome network inference, a key exploratory technique for understanding complex microbial interactions and their implications for human health...
This article provides a comprehensive overview of methodological considerations and computational tools for analyzing longitudinal microbiome data.
Differential abundance analysis (DAA) is a cornerstone statistical task in microbiome research, essential for identifying microbial biomarkers linked to health and disease.
This article provides a comprehensive overview for researchers and drug development professionals on the integration of microbiome multi-omics data, with a special focus on metabolomics.
This article provides a comprehensive framework for researchers and drug development professionals to address the critical challenge of multiple comparisons correction in microbiome statistical analysis.
This article provides a comprehensive overview of shotgun metagenomic sequencing for microbiome functional analysis, tailored for researchers, scientists, and drug development professionals.