解决结构生物信息学热点问题的云计算架构

Dariusz Mrozek
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引用次数: 1

摘要

生物信息学作为一个科学领域,开发了能够理解隐藏在大量生物数据中的丰富信息的工具。然而,生物信息学中有几个问题,虽然已经解决或至少配备了有前途的算法,但仍然需要巨大的计算能力才能在合理的时间内完成。云计算响应了这些需求。本章展示了几种基于云的计算架构,用于解决结构生物信息学中的热点问题,如蛋白质结构相似性搜索或三维蛋白质结构预测。所提出的架构已经在Microsoft Azure公共云上实现,并在Cloud4Proteins研究小组开发的几个项目中进行了测试。
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Cloud-Based Computing Architectures for Solving Hot Issues in Structural Bioinformatics
Bioinformatics as a scientific domain develops tools that enable understanding the wealth of information hidden in huge volumes of biological data. However, there are several problems in bioinformatics that, although already solved or at least equipped with promising algorithms, still require huge computing power in order to be completed in a reasonable time. Cloud computing responds to these demands. This chapter shows several cloud-based computing architectures for solving hot issues in structural bioinformatics, such as protein structure similarity searching or 3D protein structure prediction. Presented architectures have been implemented in Microsoft Azure public cloud and tested in several projects developed by Cloud4Proteins research group.
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