Experimental design and quantitative analysis of microbial community multiomics.

Genome Biol
Publication type
Journal Article
Authors
Keywords
Abstract

Studies 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.

Year of Publication
2017
Journal
Genome Biol
Volume
18
Issue
1
Pages
228
Date Published
2017 11 30
ISSN
1474-760X
DOI
10.1186/s13059-017-1359-z
PubMed ID
29187204
PubMed Central ID
PMC5708111
Links
Grant list
U54 DK102557 / DK / NIDDK NIH HHS / United States