Experimental design and quantitative analysis of microbial community multiomics
Morgan, Xochitl C.
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CitationMallick, Himel, Siyuan Ma, Eric A. Franzosa, Tommi Vatanen, Xochitl C. Morgan, and Curtis Huttenhower. 2017. “Experimental design and quantitative analysis of microbial community multiomics.” Genome Biology 18 (1): 228. doi:10.1186/s13059-017-1359-z. http://dx.doi.org/10.1186/s13059-017-1359-z.
AbstractStudies of the microbiome have become increasingly sophisticated, and multiple sequence-based, molecular methods as well as culture-based methods exist for population-scale microbiome profiles. To link the resulting host and microbial data types to human health, several experimental design considerations, data analysis challenges, and statistical epidemiological approaches must be addressed. Here, we survey current best practices for experimental design in microbiome molecular epidemiology, including technologies for generating, analyzing, and integrating microbiome multiomics data. We highlight studies that have identified molecular bioactives that influence human health, and we suggest steps for scaling translational microbiome research to high-throughput target discovery across large populations.
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