| Literature DB >> 22179717 |
Justin Kuczynski1, Christian L Lauber, William A Walters, Laura Wegener Parfrey, José C Clemente, Dirk Gevers, Rob Knight.
Abstract
The human microbiome substantially affects many aspects of human physiology, including metabolism, drug interactions and numerous diseases. This realization, coupled with ever-improving nucleotide sequencing technology, has precipitated the collection of diverse data sets that profile the microbiome. In the past 2 years, studies have begun to include sufficient numbers of subjects to provide the power to associate these microbiome features with clinical states using advanced algorithms, increasing the use of microbiome studies both individually and collectively. Here we discuss tools and strategies for microbiome studies, from primer selection to bioinformatics analysis.Entities:
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Year: 2011 PMID: 22179717 PMCID: PMC5119550 DOI: 10.1038/nrg3129
Source DB: PubMed Journal: Nat Rev Genet ISSN: 1471-0056 Impact factor: 53.242