A cloud-based interactive analysis system for microbiome data

Abstract

The invention discloses a microbiome data interactive analysis system based on a cloud platform, which belongs to the field of microbial determination and inspection. The system includes a user interface module, a data analysis module, a database module, and an analysis time prediction module, wherein the analysis time prediction module can obtain microbiome data information, reference database type information and analysis parameter information from the user interface module , predict the time required for analysis and send it to the user interface module. By using the system of the present invention, by providing the time required for analysis in advance, technicians can fully grasp the time to obtain the analysis results, so that the analysis results can be published or applied at the first time, which has important scientific research and industrial value.

Description

technical field [0001] The invention belongs to the field of microbial measurement and inspection, and in particular relates to a cloud platform-based microbiome data interactive analysis system. Background technique [0002] Microbiome refers to all microorganisms and their genetic information in a specific environment or ecosystem, including their cell population and quantity, and all genetic material (genome). It defines the microbial group and its entire genetic and physiological functions. Interaction of microorganisms with their environment and host. Microbiome is a brand-new discipline. The achievements of microbiome research will surely provide a steady stream of innovative vitality for national economic and social development and the improvement of human life quality. [0003] In the past ten years, more than $1.7 billion has been spent on large-scale research projects in microbiome, including: National Microbiome Project (NIH), Human Microbiome Project (HMP), Euro...

AI Technical Summary

Problems solved by technology

In today's microbiome research, microbial diversity mainly adopts new generation high-throughput sequencing technology to extract, amplify, mix samples, build databases and sequence the DNA of microbial samples. Statistical analysis such as quality control, splicing, de-redundancy, clustering, species annotation, alpha diversity analysis, beta diversity analysis, species community analysis, network analysis, and functional prediction, etc., is generally technically difficult and complicated, so In the actual situation, it is difficult for the experimenters to configure the analysis server and familiarize themselves with the analysis process in a short time

However, bioinformatics analysis is easily limited by the capacity of the local server and cannot achieve multi-task concurrency. Therefore, the establishment and provision of an analysis platform is of great significance for both scientific research development and clinical application.

On the other hand, currently in the process of microbiome analysis, technicians are often unable to predict and grasp the time to obtain the analysis results in a stable manner, and cannot obtain the analysis results at the first time, thus delaying the advancement of subsequent analysis

At the same time, since the next batch of analysis cannot be carried out immediately or in a short period of time, it will also cause a serious waste of computing resources.

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