组学
生物
蛋白质组学
计算生物学
基因组学
代谢组学
人类遗传学
数据科学
生物信息学
基因组
计算机科学
遗传学
基因
作者
Yehudit Hasin,Marcus M. Seldin,Aldons J. Lusis
出处
期刊:Genome Biology
[BioMed Central]
日期:2017-05-05
卷期号:18 (1)
被引量:1481
标识
DOI:10.1186/s13059-017-1215-1
摘要
High-throughput technologies have revolutionized medical research. The advent of genotyping arrays enabled large-scale genome-wide association studies and methods for examining global transcript levels, which gave rise to the field of "integrative genetics". Other omics technologies, such as proteomics and metabolomics, are now often incorporated into the everyday methodology of biological researchers. In this review, we provide an overview of such omics technologies and focus on methods for their integration across multiple omics layers. As compared to studies of a single omics type, multi-omics offers the opportunity to understand the flow of information that underlies disease.
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