The Current Status and Challenges in Computational Analysis of Genomic Big Data
文献类型：期刊论文
| 作者 | Yiming Qin; Hari Krishna Yalamanchili; Jing Qin; Bin Yan; Junwen Wang |
| 刊名 | Big Data Research
 |
| 出版日期 | 2015 |
| 英文摘要 | DNA, RNA and protein are three major kinds of biological macromolecules with up to billions of basic elements in such biologicalorganismsashuman ormouse. They function at molecular, cellular and organismal levels individually and interactively. Traditional assays on such macromolecules are largely experimentally based, which are usually time consuming and laborious. In the past few years, high-throughput technologies, such as microarray and next-generation sequencing (NGS), were developed. Consequently, large genomic datasets are being generated and computational tools to analyzing these data are in urgent demand. This paper reviews several state-of-the-art high-throughput methodologies, representative projects, available databases and bioinformatics tools at different molecular levels. Finally, challenges and perspectives in processing genomic big data arediscussed. |
| 收录类别 | 其他 |
| 原文出处 | www.elsevier.com/locate/bdr |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/7402]  |
| 专题 | 深圳先进技术研究院_医药所 |
| 作者单位 | Big Data Research |
| 推荐引用方式 GB/T 7714 | Yiming Qin,Hari Krishna Yalamanchili,Jing Qin,et al. The Current Status and Challenges in Computational Analysis of Genomic Big Data[J]. Big Data Research,2015. |
| APA | Yiming Qin,Hari Krishna Yalamanchili,Jing Qin,Bin Yan,&Junwen Wang.(2015).The Current Status and Challenges in Computational Analysis of Genomic Big Data.Big Data Research. |
| MLA | Yiming Qin,et al."The Current Status and Challenges in Computational Analysis of Genomic Big Data".Big Data Research (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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