Department of Molecular, Cellular and Developmental Biology, University of Colorado at Boulder, 347 UCB, Boulder, Colorado 80309, USA.
Nat Rev Genet. 2011 Dec 16;13(1):47-58. doi: 10.1038/nrg3129.
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.
人类微生物组极大地影响了人类生理学的许多方面,包括代谢、药物相互作用和许多疾病。这种认识,加上不断改进的核苷酸测序技术,促成了各种微生物组特征图谱数据集的收集。在过去的 2 年中,研究已经开始纳入足够数量的研究对象,利用先进的算法将这些微生物组特征与临床状态联系起来,从而增加了个体和整体微生物组研究的使用。在这里,我们讨论了从引物选择到生物信息学分析的微生物组研究工具和策略。
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