组学
基因组
蛋白质组学
鉴定(生物学)
计算生物学
基因组学
数据科学
代谢组学
微生物群
计算机科学
生物信息学
生物
生态学
基因组
生物化学
基因
作者
Tasha M. Santiago-Rodríguez,Emily B. Hollister
标识
DOI:10.1016/j.semperi.2021.151456
摘要
The application of 'omic techniques including, but not limited to genomics/metagenomics, transcriptomics/meta-transcriptomics, proteomics/meta-proteomics, and metabolomics to generate multiple datasets from a single sample have facilitated hypothesis generation leading to the identification of biological, molecular and ecological functions and mechanisms, as well as associations and correlations. Despite their power and promise, a variety of challenges must be considered in the successful design and execution of a multi-omics study. In this review, various 'omic technologies applicable to single- and meta-organisms (i.e., host + microbiome) are described, and considerations for sample collection, storage and processing prior to data generation and analysis, as well as approaches to data storage, dissemination and analysis are discussed. Finally, case studies are included as examples of multi-omic applications providing novel insights and a more holistic understanding of biological processes.
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