WHEN CLOUD COMPUTING MEETS BIOINFORMATICS: A REVIEW

被引：15
|
作者：
Zhou, Shuigeng [1 ,2 ]
Liao, Ruiqi [1 ,2 ]
Guan, Jihong [3 ]
机构：
[1] Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China
[2] Fudan Univ, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
[3] Tongji Univ, Dept Comp Sci & Technol, Shanghai 201804, Peoples R China
来源：
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY | 2013年 / 11卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Cloud computing; MapReduce; bioinformatics; DIFFERENTIAL EXPRESSION ANALYSIS; MAPREDUCE; TOOL; FRAMEWORK; ALIGNMENT; GALAXY; IMPLEMENTATION; ULTRAFAST; GENOMICS; SEQUENCE;
D O I：
10.1142/S0219720013300025
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
In the past decades, with the rapid development of high-throughput technologies, biology research has generated an unprecedented amount of data. In order to store and process such a great amount of data, cloud computing and MapReduce were applied to many fields of bioinformatics. In this paper, we first introduce the basic concepts of cloud computing and MapReduce, and their applications in bioinformatics. We then highlight some problems challenging the applications of cloud computing and MapReduce to bioinformatics. Finally, we give a brief guideline for using cloud computing in biology research.
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收藏
页数：28
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