An optimized 16s rDNA high-throughput sequencing species alignment method

Abstract

The invention relates to an optimized 16S rDNA high-throughput sequencing species comparison method. The method comprises the steps that (1) a Greengenes database, an RDP database, a Silva database and an NCBI 16S rDNA database are established; (2) taxonomy information in the Greengenes database is converted into string information; (3) taxonomy information in the NCBI 16S rDNA database, taxonomy information in the RDP database and taxonomy information in the Silva database are converted into string information; and (4) the string information obtained in the step (3) is compared with the string information obtained in the step (2), if the string information obtained in the step (3) is completely consistent with the string information obtained in the step (2), the taxonomy information in the databases is removed, and if the string information obtained in the step (3) is not consistent with the string information obtained in the step (2), the taxonomy information is imported into the Greengenes database. Through the improved sequence comparison method and the comparison databases with comprehensive information, a more detailed experimental result can be obtained from high-throughput data; an analyzer can find strains closely related to more experiments according to the result, and the method is beneficial for promoting development of medical treatment, health and environmental sciences.

Description

technical field [0001] The invention relates to an optimized 16S rDNA high-throughput sequencing species comparison method. Background technique [0002] With the maturity of sequencing technology and the reduction of cost, the research of human microbiome has accumulated more and more data on the relationship between microbial gene sequences and convenient characteristics of microbial flora and human health and diseases. However, these microbial test sequence data, bacterial flora characteristics and their relationship with human health are scattered in different scientific literatures and public databases, and the data storage and presentation methods are different. It is difficult to achieve direct data comparison and analysis of different data sources. Integrated induction. It is necessary to establish a database for unified processing and centralized storage and management of data from different sources, so as to realize data comparison and analysis based on big data. ...

AI Technical Summary

Problems solved by technology

[0004] Disadvantages of the existing technology: the existing 16S rDNA high-throughput sequencing analysis methods have insufficient sequence comparison methods and comparison databases, and the data in each database is incomplete and scattered, resulting in incomplete comparison information of high-throughput sequencing results. There are few strains, and the real experimental data results cannot be obtained

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