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在云端实现大规模生物医学分析。

Enabling large-scale biomedical analysis in the cloud.

机构信息

Master's Program in Biomedical Informatics and Biomedical Engineering, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan ; Department of Applied Mathematics, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan.

出版信息

Biomed Res Int. 2013;2013:185679. doi: 10.1155/2013/185679. Epub 2013 Oct 31.

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.

摘要

近年来,高通量仪器的发展使得从各种来源收集的生物医学数据在数量和复杂性上都有了惊人的增长。这些海量数据给存储和计算技术带来了严峻的挑战。云计算是一种可行的解决方案,因为它可以同时考虑在大规模数据上进行存储和高性能计算。本文简要介绍了数据密集型计算系统,并总结了生物信息学中现有的基于云的资源。这些发展和应用将促进生物医学研究,使大量多样化的数据变得有意义和可用。

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Enabling large-scale biomedical analysis in the cloud.在云端实现大规模生物医学分析。
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The cloud paradigm applied to e-Health.云计算在电子健康领域的应用。
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A survey of GPU-based medical image computing techniques.基于 GPU 的医学图像处理技术综述。
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