Analysis method for sequencing data of targeted detection microorganisms and application

By removing host information, aligning the reference sequence of pathogenic microorganisms and correcting the chimeric sequence of the sequencing data of the body fluid samples, the problem of insufficient detection sensitivity and specificity in the prior art is solved, and more efficient data analysis and lower false positive rates are achieved.

CN120126562APending Publication Date: 2025-06-10SHENZHEN GENEPLUS CLINICAL LAB +2
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Patent Information

Application Number
CN202311674180.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-07
Publication Date
2025-06-10

AI Technical Summary

Technical Problem

Prior art In bodily fluid samples or samples from open respiratory tract sources, it is difficult to effectively distinguish signals from noise, resulting in insufficient detection sensitivity and specificity, and high background interference and false positive rates.

Method used

By obtaining the sequencing data of the sample to be examined, the host information is first removed by aligning with the reference sequence of the host, and then the mismatch sequence is filtered with the reference sequence of the pathogenic microorganism, and finally bioinformatics analysis is performed to generate the detection results. The method includes chimeric sequence correction, dynamic mismatch threshold filtering, and probe-specific filtering to improve data quality and reduce false positives.

Benefits of technology

It improves the utilization and quality of sequencing data, reduces background interference and false positive rates, enhances the sensitivity and specificity of detection, and shortens the running cycle of sequencing data analysis.

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Abstract

The invention provides an analysis method for sequencing data of targeted detection microorganisms and application, by using the method provided by the invention, background interference, such as non-pathogenic or conditionally pathogenic homologous microorganisms in human host sequences, human endogenous microorganisms or samples, can be reduced; according to the method, the influence of chimeric sequence comparison generated by enzyme digestion on quality is reduced, the effective utilization rate and quality of data are improved, particularly short sequence fragments are obtained, false positive caused by probe hybridization mismatch is reduced, the sensitivity and specificity of detection are improved, and meanwhile, the operation cycle of sequencing data analysis is also shortened.
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