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BioMed Research International
Volume 2013 (2013), Article ID 185679, 6 pages
http://dx.doi.org/10.1155/2013/185679
Review Article

Enabling Large-Scale Biomedical Analysis in the Cloud

1Master’s Program in Biomedical Informatics and Biomedical Engineering, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan
2Department of Applied Mathematics, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan
3Department of Information Engineering and Computer Science, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan
4Department of Computer Science, National Tsing Hua University, No. 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan

Received 6 August 2013; Accepted 22 September 2013

Academic Editor: Chun-Yuan Lin

Copyright © 2013 Ying-Chih Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.