A big data analysis device based on cloud platform

Abstract

The invention discloses a big data analysis device based on a cloud platform, which includes a cloud service module for acquiring biological data and storing the acquired biological data; a data matching module for dynamically setting keywords, collecting and setting from the cloud service module The biological data that matches the keywords; the data classification module classifies the collected biological data and stores them in the corresponding database; the data analysis module performs information analysis, domain analysis, and relationship mining on the biological data stored in the database in sequence Analyze, get the analysis results and analysis process framework, and build a data index table based on the analysis results; display module, call the obtained analysis results and analysis process framework, display the analysis results and analysis process framework, and upload the analysis results and analysis process framework to Cloud service module. By adopting the embodiment of the present invention, the analysis efficiency is high, the analysis result is clear, the readability is good, and it is convenient for users to share.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a big data analysis device based on a cloud platform. Background technique [0002] With the continuous development of human society, people pay more and more attention to various industries related to life science and technology. It includes a series of genome research on important animals and plants, human health, microorganisms, marine organisms, and bioenergy. Gene technology can benefit mankind. , to promote the vigorous development of the bio-economy industry. These mainly involve work such as gene and protein sequencing. In the current work of gene and protein sequencing, after the work of sequencing and data sorting is completed, it is necessary to analyze a large amount of biological data and submit the analysis results to the user. However, existing The analysis efficiency of the data analysis device is not high, the analysis process framework cannot be obtained, the analy...

AI Technical Summary

Problems solved by technology

These mainly involve work such as gene and protein sequencing. In the current work of gene and protein sequencing, after the work of sequencing and data sorting is completed, it is necessary to analyze a large amount of biological data and submit the analysis results to the user. However, existing The analysis efficiency of the data analysis device is not high, the analysis process framework cannot be obtained, the analysis results obtained are single, and it is not easy to share

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