云计算在生物医学中的应用

Biomedical Applications Using Cloud Technologies

以下一代测序技术为代表的海量生物医学数据为现代生命科学研究提供了前所未有的机遇,但后续的大数据分析却成为一大难题.本研究综述了云计算在生物医学领域的最新研究进展,首先阐述云计算服务模式及其优点,列举基于云计算的大数据分析工具,并以宏基因组分析应用PathSeq为例介绍使用云计算的步骤,最后给出私有云构建与云计算应用中的一些建议,希望为基因组学、转录组学、蛋白质组学等生物医学领域提供新的海量数据处理方法和思路.

Next-generation sequencing technology provides unprecedented opportunities for modern life science research, however, the subsequent analysis of huge amount of sequencing data becomes a major problem. Here we review the recent progress of cloud computing in biomedical science, describe the service model of cloud computing, its advantages and cloud-based analytical software, and take PathSeq as an example to show how to use cloud services. Finally we discuss private cloud and give some suggestions. Cloud computing provides a potential way to deal with big data in the biomedical field of genomics, transcriptomics and proteomics.