Applications of integrative OMICs approaches to gene regulation studies
文献类型：期刊论文
| 作者 | Jing Qin; Bin Yan; Yaohua H; Panwen Wang; Junwen Wang |
| 刊名 | Quantitative Biology
 |
| 出版日期 | 2016 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Functional genomics employs dozens of OMICs technologies to explore the functions of DNA, RNA and protein regulators in gene regulation processes. Despite each of these technologies being powerful tools on their own, like the parable of blind men and an elephant, any one single technology has a limited ability to depict the complex regulatory system. Integrative OMICS approaches have emerged and become an important area in biology and medicine. It provides a precise and effective way to study gene regulations. Results: This article reviews current popular OMICs technologies, OMICs data integration strategies, and bioinformatics tools used for multi-dimensional data integration. We highlight the advantages of these methods, particularly in elucidating molecular basis of biological regulatory mechanisms. Conclusions: To better understand the complexity of biological processes, we need powerful bioinformatics tools to integrate theseOMICsdata. Integratingmulti-dimensional OMICsdatawill generate novelinsights into system-level gene regulations and serves as a foundation for further hypothesis-driven research. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12378]  |
| 专题 | 深圳先进技术研究院_医药所 |
| 作者单位 | Quantitative Biology |
| 推荐引用方式 GB/T 7714 | Jing Qin,Bin Yan,Yaohua H,et al. Applications of integrative OMICs approaches to gene regulation studies[J]. Quantitative Biology,2016. |
| APA | Jing Qin,Bin Yan,Yaohua H,Panwen Wang,&Junwen Wang.(2016).Applications of integrative OMICs approaches to gene regulation studies.Quantitative Biology. |
| MLA | Jing Qin,et al."Applications of integrative OMICs approaches to gene regulation studies".Quantitative Biology (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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