Cureus | Enabling Large-Scale Biomedical Analysis in the Cloud
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Enabling Large-Scale Biomedical Analysis in the Cloud

Ying-Chih Lin, Chin-Sheng Yu, Yen-Jen Lin

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DOI: 10.1155/2013/185679

License: Copyright © 2013 Ying-Chih Lin et al.2013This 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.


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Scholarly Impact Quotient™ (SIQ™)

Scholarly Impact Quotient™ (SIQ™) is our unique post-publication peer review rating process. SIQ™ assesses article importance and quality by embracing the collective intelligence of the Cureus community-at-large. All registered users are invited to contribute to the SIQ™ of any published article. (Authors cannot rate their own articles.)

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