随着高通量测序、蛋白质组学等生物技术的迅猛发展，生物医学数据、生物信息学工具及分析应用需求均呈现出多样性和复杂性的特点。传统的生物信息计算环境如专用工作站、虚拟机等已无法较好地适应这一情况。Docker作为一种新兴的容器技术，具有轻量、开放和安全的优点，为分析和处理生物大数据提供了一种新的解决方案，得到生物信息学开发和应用人员越来越多的关注与使用。该文针对大数据时代下生物信息学工具开发、部署、应用的要求和特点，分析Docker技术在生物信息学中应用的优势，介绍了该技术在生物信息学中的具体应用案例，探讨其有待改进的方面以及未来发展趋势。%With the rapid development of biotechnology such as NGS and proteomics , bioinformatics has seen an explo-sion in diversity and complexity in terms of data , tools and demands .The traditional computing environment , including ded-icated workstations and virtual machines , are no longer suitable under such circumstances .As a rising container technolo-gy, Docker, which is characterized by light weight , openness and security ,has provided an innovative solution to analysis and processing of biological big data and attracted increasing attention from bioinformatics developers and users .Consider-ing the demands and features of development , deployment and application of bioinformatics tools in the age of big data , this paper analyzes the advantages of Docker in this field , introduces some actual cases and discusses current deficiencies and future improvement .
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