Method and device for detecting pathogenic microorganisms based on metagenomics

Abstract

The invention discloses a pathogenic microorganism detection method and device based on metagenomics. The method comprises the following steps: acquiring metagenome sequencing data of a to-be-detected sample; preprocessing the metagenome sequencing data to obtain target data; screening the target data to obtain a target sequence; performing clustering analysis on the target sequence to obtain candidate species categories of the to-be-detected sample; comparing the target data with the non-redundant reference gene set, and calculating abundance of each gene in a single sample to obtain target species classification information of the to-be-detected sample; comparing the target data with information in a pathogenic microorganism detectable database to obtain drug-resistant gene and toxic element information of the to-be-detected sample; and determining the target species classification information, the drug-resistant gene and the toxic element information as a detection result of the to-be-detected sample. According to the invention, the pathogenic microorganism detection applicability range and the pathogenic detection accuracy are improved.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a method and device for detecting pathogenic microorganisms based on metagenomics. Background technique [0002] Microorganisms widely exist in nature, most of which are single-celled organisms. Microorganisms usually include viruses, bacteria, fungi, protozoa, and some algae. From the perspective of medical application, rapid detection of pathogenic microorganisms in clinical samples has important clinical significance for the diagnosis, treatment and prognosis of infectious diseases. [0003] Microbiome research has developed rapidly in the past few decades, especially the application of Metagenomic Next-Generation Sequencing technology (Metagenomic Next-Generation Sequencing) in the detection of pathogenic microorganisms has played a huge role. Next-generation sequencing enables disease diagnosis, interrogation, and tracking of infectious diseases. Current nanopore sequencing h...

AI Technical Summary

Problems solved by technology

Current nanopore sequencing has many disadvantages: more sequencing errors, lower throughput, and higher average sequencing cost per base, thus limiting the application of nanopore sequencing

[0004] However, the

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