The Designation And Implementation Of Biological Data Platform For Computational Researches

With the rapid development of biological science and information science, huge amounts of biological data will continue to accumulate. The first task in natural science research is to combine biology and computer science knowledge, to find the important biological information contained in biological data, and to explore the inherent law of development. Thus, a new science called computational biology or bioinformatics has been produced.Computational biology research is to develop a core issue of the database:How is the huge amounts of data collection, storage, collation and maintenance, and also to efficiently provide data services to biological researchers. However, the current domestic-oriented computing platform little biological data.Faced with the rapid growth of these biological data,traditional storage methods difficult to complete. Many computational biology researchers are worried, there is no a convenient, fast, efficient and flexible biological databases for their data services. Therefore, the development of our own biological database-oriented computing has very important significance.The main content of this paper is to design and implement a calculation for non-relational data platform, to study the existing types of biological data integration, to meet the needs of researchers in computational biology, biological data collection, collation, storage and maintenance. The process commonly used in biological research of biological data to the user by the easiest and quickest way. Thereby allowing researchers to focus only problem itself, deal with the problem without having to worry about data.The system uses the Python programming language to write code. Using the best match of large biological non-relational data databases MongoDB. Through the establishment of a set of data management, data access process completed construction-related protein database.