Concerns and Challenges of Cloud Platforms for Bioinformatics

N. Dessì, B. Pes
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引用次数: 0

Abstract

Bioinformatics traditionally concerns applying computational approaches for the management and the exploitation of large volumes of biomedical data that continues to expand in size and in distribution. Although the application of cloud computing in biomedical areas is still preliminary, an increasing number of biomedical applications rely on the Cloud for processing large datasets. This chapter investigates the extent to which cloud technology offers a viable platform for developing and deploying applications that support users in searching and integrating information offered by bioinformatics resources. The chapter outlines the basic features that such computing applications should exhibit and the challenging issues they deal with. The architecture and the functionality of the cloud-based environments are presented to stress how cloud platforms could offer added-value service components and flexibility that make their adoption attractive for bioinformatics.
生物信息学云平台的关注与挑战
生物信息学传统上关注应用计算方法来管理和开发大量的生物医学数据,这些数据在规模和分布上都在不断扩大。尽管云计算在生物医学领域的应用仍处于初级阶段,但越来越多的生物医学应用依赖于云来处理大型数据集。本章调查了云技术在多大程度上为开发和部署支持用户搜索和整合生物信息学资源提供的信息的应用程序提供了一个可行的平台。本章概述了这些计算应用程序应该展示的基本特征以及它们处理的具有挑战性的问题。本文介绍了基于云的环境的架构和功能,以强调云平台如何提供增值服务组件和灵活性,从而使其对生物信息学的采用具有吸引力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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