Enabling Large-Scale Biomedical Analysis in the Cloud

被引:6
|
作者
Lin, Ying-Chih [1 ,2 ]
Yu, Chin-Sheng [1 ,3 ]
Lin, Yen-Jen [4 ]
机构
[1] Feng Chia Univ, Masters Program Biomed Informat & Biomed Engn, Taichung 40724, Taiwan
[2] Feng Chia Univ, Dept Appl Math, Taichung 40724, Taiwan
[3] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 40724, Taiwan
[4] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 30013, Taiwan
关键词
MAPREDUCE; FRAMEWORK;
D O I
10.1155/2013/185679
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable.
引用
收藏
页数:6
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