A computer-aided analysis system and method based on high-throughput sequencing data and a knowledge graph

By using a computer-aided analysis system based on high-throughput sequencing data and knowledge graphs, the system addresses the problems of reliance on manual analysis, lack of standardized interpretation of results, fragmented knowledge that is difficult to integrate, low personalization, lack of clinical database support, and broken service chains in high-throughput sequencing data analysis. It achieves automated, intelligent, and personalized microbiome data analysis and interpretation, providing efficient and accurate closed-loop services.

CN122290707APending Publication Date: 2026-06-26SHANGHAI ENTROPY BIOMEDICAL TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI ENTROPY BIOMEDICAL TECHNOLOGY CO LTD
Filing Date
2026-03-14
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Current high-throughput sequencing data analysis relies on manual labor, the interpretation of results lacks standardization, knowledge is scattered and difficult to integrate, the degree of personalization is low, there is a lack of clinical database support, and the service chain is broken.

Method used

A computer-aided analysis system based on high-throughput sequencing data and knowledge graphs is adopted, including a data access agent, a quality control analysis agent, a species annotation agent, a knowledge graph reasoning agent, and a report generation agent. A complete closed loop is formed through the agent scheduling center to realize automated, intelligent, and personalized microbiome data analysis and interpretation.

Benefits of technology

It achieves a highly efficient and automated analysis workflow, reduces manual operation costs, improves analysis efficiency, provides clinically meaningful interpretations, generates personalized analysis reports and intervention recommendations, supports a fully closed-loop service, and enhances the accuracy and applicability of the analysis.

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Abstract

This invention provides a computer-aided analysis system based on high-throughput sequencing data and knowledge graphs, including a data access agent, a quality control analysis agent, a species annotation agent, a knowledge graph reasoning agent, a report generation agent, and an agent scheduling center. The data access agent acquires sequencing data and clinical phenotypic data; the quality control analysis agent performs quality control using the Illumina NovaSeq platform, V3-V4 primers, the SILVA v144 database, Q30 ≥ 90%, and sequences ≥ 50 bp; the species annotation agent performs species classification annotation based on a reference database; the knowledge graph reasoning agent performs association analysis based on a microbiome-disease-intervention knowledge graph, using ET_MGNN and RTGN models, including 264 search keywords covering dental caries, periodontitis, oral cancer, Alzheimer's disease, diabetes, and heart disease; the report generation agent generates personalized analysis reports and intervention suggestions; and the agent scheduling center manages and dynamically schedules all agents, forming a complete closed loop of "perception → analysis → diagnosis → intervention → execution → feedback".
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Citation Information

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