基因组
生物
计算生物学
组学
仿形(计算机编程)
蛋白质组学
代谢组学
DNA测序
微生物种群生物学
基因组学
转录组
基因组
生物信息学
遗传学
DNA
基因
细菌
计算机科学
基因表达
操作系统
作者
Eric A. Franzosa,Tiffany Hsu,Alexandra Sirota‐Madi,Afrah Shafquat,Galeb Abu-Ali,Xochitl C. Morgan,Curtis Huttenhower
摘要
High-throughput DNA sequencing has proven invaluable for investigating diverse environmental and host-associated microbial communities. In this Review, we discuss emerging strategies for microbial community analysis that complement and expand traditional metagenomic profiling. These include novel DNA sequencing strategies for identifying strain-level microbial variation and community temporal dynamics; measuring multiple 'omic' data types that better capture community functional activity, such as transcriptomics, proteomics and metabolomics; and combining multiple forms of omic data in an integrated framework. We highlight studies in which the 'multi-omics' approach has led to improved mechanistic models of microbial community structure and function.
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