{"title":"Systems biology approaches to interpreting genomic data","authors":"Twan van den Beucken","doi":"10.1016/j.cotox.2019.02.004","DOIUrl":null,"url":null,"abstract":"<div><p><span>Technological developments in genome-wide analysis have accelerated the generation of large, complex data sets characterizing human biology at the molecular level. Integration of data from different molecular levels holds great promise for gaining understanding of complex biological systems. Toxicogenomics aims to obtain a comprehensive mechanistic map of </span>cellular processes that drive adverse outcomes. Such an integrated approach relies on combining various genome-wide profiles (DNA, RNA, protein, and metabolite) and linking these to functional endpoints to allow the identification of relevant biological pathways. Here, current strategies for generating multiomic data within the domain of toxicogenomics are highlighted, and current strategies for multiomic data integration are discussed.</p></div>","PeriodicalId":93968,"journal":{"name":"Current opinion in toxicology","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.cotox.2019.02.004","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468202019300026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Technological developments in genome-wide analysis have accelerated the generation of large, complex data sets characterizing human biology at the molecular level. Integration of data from different molecular levels holds great promise for gaining understanding of complex biological systems. Toxicogenomics aims to obtain a comprehensive mechanistic map of cellular processes that drive adverse outcomes. Such an integrated approach relies on combining various genome-wide profiles (DNA, RNA, protein, and metabolite) and linking these to functional endpoints to allow the identification of relevant biological pathways. Here, current strategies for generating multiomic data within the domain of toxicogenomics are highlighted, and current strategies for multiomic data integration are discussed.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
