[1]孔 波,邹 有,卢红兵,等.基于 Web 的色质数据解析平台设计与开发[J].计算机技术与发展,2019,29(12):198-204.[doi:10. 3969 / j. issn. 1673-629X. 2019. 12. 036]
　KONG Bo,ZOU You,LU Hong-bing,et al.Design and Development of GC/ MS Data Analysis Platform Based on Web[J].,2019,29(12):198-204.[doi:10. 3969 / j. issn. 1673-629X. 2019. 12. 036]
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基于 Web 的色质数据解析平台设计与开发()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年12期
页码:
198-204
栏目:
应用开发研究
出版日期:
2019-12-10

文章信息/Info

Title:
Design and Development of GC/ MS Data Analysis Platform Based on Web
文章编号:
1673-629X(2019)12-0198-07
作者:
孔 波1 ; 邹 有2 ; 卢红兵1 ; 杨华武1 ; 庹苏行1
1. 湖南中烟工业有限责任公司技术研究中心,湖南 长沙 410007; 2. 中南大学信息与网络中心高性能计算中心,湖南 长沙 410083
Author(s):
KONG Bo 1 ; ZOU You 2 ; LU Hong-bing 1 ; YANG Hua-wu 1 ; TUO Su-xing 1
1. Technology Research &Development Center,Hunan Branch of China Tobacco Industry Co. ,Ltd. ,Changsha 410007,China; 2. High Performance Computing Center,Information and Network Center of Central South University,Changsha 410083,China
关键词:
色质解析; 质谱检索; CUDA; Node. js
Keywords:
GC/ MS analysis; spectral identification; CUDA; Node. js.
分类号:
TP312
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 12. 036
摘要:
色质联用仪数据分析软件系统是处理和分析色质联用仪样品数据的主要工具,是色质联用分析技术不可或缺的重要组成部分。 目前分析色质联用仪产生的样品数据,还需要安装特定的商用仪器软件,这些商业分析软件通常与仪器捆绑销售,使用的经济成本高,其便利性和共享性也非常欠缺。 为了更加准确、方便、快捷地分析色质联用仪产生的样品数据,提供高效、灵活、低成本的数据解析服务,基于 Node. js 的 Express 应用框架,设计开发了基于 Web 的色质数据解析平台。 该平台可以实现色质数据的可视化、谱峰检测以及质谱检索等功能。 为了提高数据处理效率,采用 GPU 加速技术对多任务并发的运算进行加速。 该平台使用便捷、数据处理高效,易于部署。 实验结果表明,该平台在保证解析结果准确性的同时,能够极大地提高色质数据解析效率。
Abstract:
Data analysis software system of GC - MS is the main tool to process and analyze sample data of GC - MS and is an indispensable and important part of GC-MS analysis technology. At present,it is necessary to install specific commercial instrument software to analyze sample data produced by GC-MS. This commercial analysis software is usually sold in bundles with instruments which are of high economic cost and lack of convenience and sharing. In order to analyze the sample data produced by GC-MS more accurately, conveniently and quickly,and provide efficient,flexible and low-cost data analysis service,we design and develop a Web-based color data analysis platform based on Express application framework of Node. js. The platform can realize the visualization of color data,peak detection and mass spectrometry retrieval. In order to improve the efficiency of data processing,we use GPU acceleration technology to speed up multi-task concurrent operation. The platform is convenient to use,efficient in data processing and easy to deploy. The experiment shows that the platform not only ensures the accuracy of the analytical results,but also greatly improves the resolution efficiency of GC-MS data.
更新日期/Last Update: 2019-12-10