基于Hadoop流的核磁共振数据处理研究

Kalpa Gunaratna, Paul E. Anderson, Ajith Ranabahu, A. Sheth
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引用次数: 4

摘要

应用云计算技术分析大型数据集在许多数据驱动的科学应用中显示出前景。我们在这里提出的方法是使用云计算进行核磁共振(NMR)数据分析,这些数据通常由大量数据组成。生物学家经常使用第三方或商业软件以方便使用。在云中使用这类软件的能力在很多方面都是非常有利的。专门为云设计的脚本语言可能不具备生物学家实现其目的所需的灵活性。虽然这是事实,但他们熟悉特殊的软件包,这些软件包使他们能够以最小的努力编写复杂的计算,但通常与云环境不兼容。因此,由于我们提出的解决方案,试图对NMR数据进行分析的生物学家获得了许多优势。我们的解决方案为他们提供了云计算的灵活性,也使他们能够对大量数据进行计算,这在以前是不可能的。我们的研究也适用于任何其他需要类似灵活性的环境。我们目前正处于开发核磁共振数据分析框架的初始阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study in Hadoop Streaming with Matlab for NMR Data Processing
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR)data analysis which normally consists of large amounts of data. Biologists often use third party or commercial software for ease of use. Enabling the capability to use this kind of software in a Cloud will be highly advantageous in many ways. Scripting languages especially designed for clouds may not have the flexibility biologists need for their purposes. Although this is true, they are familiar with special software packages that allow them to write complex calculations with minimum effort, but are often not compatible with a Cloud environment. Therefore, biologists who are trying to perform analysis on NMR data, acquire many advantages due to our proposed solution. Our solution gives them the flexibility to Cloud-enable their familiar software and it also enables them to perform calculations on a significant amount of data that was not previously possible. Our study is also applicable to any other environment in need of similar flexibility. We are currently in the initial stage of developing a framework for NMR data analysis.
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