Genomic, Proteomic, and Metabolomic Data Integration Strategies

被引:102
作者
Wanichthanarak, Wanjeera [1 ]
Fahrmann, Johannes F. [1 ]
Grapov, Dmitry [2 ]
机构
[1] Univ Calif Davis, Genome Ctr, Davis, CA 95616 USA
[2] CDS Creat Data Solut, Ballwin, MO USA
来源
BIOMARKER INSIGHTS | 2015年 / 10卷
关键词
data integration; omics; data analysis; networks; bioinformatics; metabolomics; proteomics; genomics;
D O I
10.4137/BMI.S29511
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Robust interpretation of experimental results measuring discreet biological domains remains a significant challenge in the face of complex biochemical regulation processes such as organismal versus tissue versus cellular metabolism, epigenetics, and protein post-translational modification. Integration of analyses carried out across multiple measurement or omic platforms is an emerging approach to help address these challenges. This review focuses on select methods and tools for the integration of metabolomic with genomic and proteomic data using a variety of approaches including biochemical pathway-, ontology-, network-, and empirical-correlation-based methods.
引用
收藏
页码:1 / 6
页数:6
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