Temporal and spatial variation of the human microbiota during pregnancy

By Daniel B. DiGiulio, Benjamin J. Callahan, Paul J. McMurdie, E. Costello, D. Lyell, Anna Robaczewska, Christine L. Sun, D. Goltsman, R. Wong, G. Shaw and 3 more. Proceedings of the National Academy of Sciences of the United States of America, 2015

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Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment (2021, methodology): “…9 papers related to the development of ML methods for microbiome longitudinal analysis that are mainly based on the reuse of ﬁve datasets (Caporaso et al., 2011; Gajer et al., 2012; David et al., 2014; La Rosa et al., 2014; DiGiulio et al., 2015) with Gajer et al. being reused in four of them.”
The Central Nervous System and the Gut Microbiome (2016, background): “The maternal microbiome is distinct and dynamically changing during pregnancy compared to other periods in female life (DiGiulio et al., 2015; Koren et al., 2012; MacIntyre et al., 2015; Nuriel-Ohayon et al., 2016; Romero et al., 2014a).”
Exact sequence variants should replace operational taxonomic units in marker-gene data analysis (2017, background): “A major area of translational research is the use of microbial community composition as a predictive biomarker (DiGiulio et al., 2015; Baxter et al., 2016).”
The healthy human microbiome (2016, background): “gasseri) or by a mixture of other microbes including Gardnerella [35, 36].”
The Vaginal Microenvironment: The Physiologic Role of Lactobacilli (2018, background): “The vaginal microbiota in normal pregnancy is predominated by Lactobacilli and is more stable than that in the nonpregnant state (12, 17, 18).”