计算机科学 ›› 2021, Vol. 48 ›› Issue (1): 326-332.doi: 10.11896/jsjkx.191200030
• 交叉与前沿 • 上一篇
何志鹏1,2, 李瑞琳1, 牛北方1,2
HE Zhi-peng1,2, LI Rui-lin1, NIU Bei-fang1,2
摘要： 下一代测序技术(Next Generation Sequencing,NGS)以其低成本、超高通量的特性,显著推动着宏基因组学的发展,同时也为领域内科研人员带来了巨大的挑战。随之而来的大规模、高复杂度测序数据,让研究人员在处理过程中面临诸多困难:一方面,大规模测序数据的分析消耗资源,如硬件资源、时间成本等;另一方面,计算分析过程中必然涉及到的大量宏基因组学计算分析工具很难由普通使用者自行部署、调试与维护。文中对比了领域内主流的宏基因组学计算平台,综合分析了各平台主要的优势与不足;进一步结合当前有效的计算服务技术,构建完成了一个专注于宏基因组学计算分析的高可用弹性宏基因组学计算平台MWS-MGA(More than a Web Service for Metagenomic Analysis);并通过提供多种交互接入方式以及丰富灵活的计算工具,较大程度地降低了科研人员进行宏基因组学NGS数据分析的科研门槛。
中图分类号:
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