基于Django框架的生物信息网站建设
发布时间：2018-08-18 12:37
【摘要】：由于生物科学和互联网的飞速发展,生物信息数据不断壮大,自然科学研究中的首要课题将是运用生物学和计算机科学的知识研究其中所包含的生物信息以及探索生物的内在发展规律。面对大量的生物资源,网络的日益复杂,传统的生物信息网站已经无法迅速掌握最新最准确的生物数据,以及无法将数据分析与数据管理集合到一起进行研究讨论。因此需要一种有效的方法对其进行相应的管理和维护,以便可以进一步将数据分析、处理和利用在一个平台下实现。 基于Django框架的生物信息网站分别对来自太空和地面的育种进行分析与比较,通过分析的结果来获取相关的生物信息。该网站具有高度网络化,它可以实现在个人计算机平台上的自由访问,而且它还可以构建数据库系统,对相关数据进行集成,从而实现对数据的存储和管理,以及对提取出的生物数据进行主成分分析。本文主要成果包括： (1)通过对生物信息数据和Django框架的特点等方面的分析,选择合适的软件开发平台以及网站后台数据库。 (2)根据需求分析,确立了网站前端显示和后台管理两部分软件设计的实现方案。选用Pycharm开发平台；用Python语言对网站整体框架进行搭建。 (3)通过将网站划分为不同的功能模块,并用Python、SQL、Html等语言分别进行编码设计,实现网站前后端的交互。 (4)将提取出的生物数据进行集合,运用R语言进行数据分析,并将不同类型的生物数据区分出来。 (5)对网站进行全面的功能测试,解决发现的问题和新增的需求,不断的完善和改进,逐步增强网站的实用性。 经过多次调试修改之后,该网站达到了最初的设计目标,实现了一个能在统一的数据平台上对数据进行分析和查询的生物信息网站。
[Abstract]:With the rapid development of biological science and the Internet, the bioinformatics data is growing rapidly. The primary task of natural science research will be to use the knowledge of biology and computer science to study the biological information contained therein and to explore the inherent laws of biological development. In the face of a large number of biological resources and the increasing complexity of the network, the traditional biological information website has been unable to quickly grasp the latest and most accurate biological data, as well as the data analysis and data management together for research and discussion. Therefore, an effective method is needed to manage and maintain the data so that the data can be analyzed, processed and utilized in a single platform. The bioinformatics website based on Django framework analyzes and compares the breeding from space and ground, and obtains the relevant biological information by analyzing the results. The website has a high degree of networking, it can realize free access on the personal computer platform, and it can also build a database system to integrate the relevant data, thereby realizing the storage and management of data. The extracted biological data were analyzed by principal component analysis (PCA). The main achievements of this paper are as follows: (1) through the analysis of biological information data and the characteristics of Django framework, we choose the appropriate software development platform and website backstage database. (2) according to the needs of the analysis, The software design scheme of front-end display and background management is established. Choose Pycharm development platform, use Python language to build the overall framework of the website. (3) by dividing the website into different functional modules, and using Python SQL HTML and other languages to code design, (4) collect the biological data extracted, analyze the data with R language, and distinguish the different types of biological data. (5) carry on the comprehensive function test to the website. Solve the problems found and new needs, improve and improve, gradually enhance the usability of the site. After many debugging and modification, the website has reached the initial design goal, and has realized a biological information website which can analyze and query the data on the unified data platform.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.092
[Abstract]:With the rapid development of biological science and the Internet, the bioinformatics data is growing rapidly. The primary task of natural science research will be to use the knowledge of biology and computer science to study the biological information contained therein and to explore the inherent laws of biological development. In the face of a large number of biological resources and the increasing complexity of the network, the traditional biological information website has been unable to quickly grasp the latest and most accurate biological data, as well as the data analysis and data management together for research and discussion. Therefore, an effective method is needed to manage and maintain the data so that the data can be analyzed, processed and utilized in a single platform. The bioinformatics website based on Django framework analyzes and compares the breeding from space and ground, and obtains the relevant biological information by analyzing the results. The website has a high degree of networking, it can realize free access on the personal computer platform, and it can also build a database system to integrate the relevant data, thereby realizing the storage and management of data. The extracted biological data were analyzed by principal component analysis (PCA). The main achievements of this paper are as follows: (1) through the analysis of biological information data and the characteristics of Django framework, we choose the appropriate software development platform and website backstage database. (2) according to the needs of the analysis, The software design scheme of front-end display and background management is established. Choose Pycharm development platform, use Python language to build the overall framework of the website. (3) by dividing the website into different functional modules, and using Python SQL HTML and other languages to code design, (4) collect the biological data extracted, analyze the data with R language, and distinguish the different types of biological data. (5) carry on the comprehensive function test to the website. Solve the problems found and new needs, improve and improve, gradually enhance the usability of the site. After many debugging and modification, the website has reached the initial design goal, and has realized a biological information website which can analyze and query the data on the unified data platform.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.092
【参考文献】
相关期刊论文 前10条
1 张桂荣;;生物信息数据库资源及其应用[J];河北科技师范学院学报(社会科学版);2010年01期
2 刘智s，
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