Automatic analysis method for fecal microorganism diversity

Abstract

The invention relates to the field of microorganisms, and discloses an automatic analysis method for fecal microorganism diversity, which comprises the steps of original offline data filtration and quality control, host genome comparison, microorganism flora species annotation and comparison, microorganism flora metabolic potential analysis, microorganism diversity analysis, result statistics and output and the like. In the method, Python script connection is used in all the steps to achieve automatic analysis, so that tedious manual operation is reduced, various errors caused by the manual operation are reduced, and the abundance, metabolic pathways and other information of different microbial florae in a sample are analyzed while the Shannon diversity index and the Simpson diversity index are calculated, and the method is suitable for large-scale popularization and application. Therefore, diversity of fecal microorganisms can be understood more comprehensively, intermediate results generated in all steps can be output in the running process of the process, corresponding data can be subjected to statistical analysis and arrangement, and a corresponding chart is output to facilitate the browsing of a user; meanwhile, all process related information is recorded in a process running log, so that screening can be carried out conveniently when the process is in error.

Description

technical field [0001] The invention relates to the field of microorganisms, in particular to an automatic analysis method for the diversity of feces microorganisms. Background technique [0002] Fecal microorganisms refer to all the microorganisms extracted and isolated from biological feces, and also refer to the intestinal flora microorganisms. There are a large number of such microorganisms and there are many types of microorganisms. While living on the intestinal tract, they also help the host to complete a variety of physiological and biochemical functions. The human intestine is not only an important place for digestion and absorption, but also a part of the immune system, which can play an extremely important role in maintaining normal immune defense functions. Therefore, human intestinal microorganisms also have metabolic functions that the human body does not possess. Bacteria make up more than 99% of the human fecal microbiome, numbering about 10 11 There are mor...

AI Technical Summary

Problems solved by technology

The advantage of this method is that it focuses on the analysis of metagenomic gene functions, but this method lacks upstream filtering quality control of microbial metagenomic data and downstream correlation analysis of microbial diversity

[0007] At present, there is no automatic method for analyzing fecal microbial metagenome and calculating its diversity. Therefore, an automatic analysis method for fecal microbial diversity is designed. This method uses the off-machine data of fecal microbial metagenomic sequencing to automatically complete data quality control. , sequence comparison, species annotation, abundance identification and diversity calculation, etc., and the statistics, classification and arrangement of the results have practical significance and good application prospects

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