Pet Genome Matchmaking System for Low Genetic Risk Breeding
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Solution Overview
Problem
It is challenging to find a suitable pet for breeding that meets specific genetic, external, and health criteria, as existing systems lack the ability to accurately assess genetic risks and predict healthy offspring, making it difficult to ensure low genetic disease transmission.
Innovation Solution
A genome-based matchmaking system that includes a gene analyzer, bioinformatics analyzer, epigenetic analyzer, and database unit to provide genetically, externally, and physically specific breeding recommendations by analyzing genetic, non-genetic, and epigenetic information, calculating breeding fitness, and predicting genetic disease risks for offspring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If genome-based matchmaking system is implemented, then breeding accuracy and health prediction are improved, but system complexity and analysis time are increased
Solution Approach 1:
The genome-based matchmaking system is divided into distinct functional modules: gene analysis unit, bioinformatics analysis unit, epigenetic analysis unit, and matching recommendation unit. Each module performs a specific function (genetic analysis, data processing, epigenetic modification analysis, and breeding pair matching), allowing the complex system to be managed through modular components that can be independently optimized and maintained.
Solution Approach 2:
The patent introduces a database unit as an intermediary that stores and manages genetic information, bioinformatics data, and epigenetic analysis results. This intermediary layer facilitates efficient data exchange between the analysis units and the matching recommendation unit, reducing direct computational complexity while maintaining high breeding accuracy through comprehensive data integration.
2Reliability
If comprehensive genetic and epigenetic analysis is performed, then offspring health prediction is improved, but analysis time and computational resources are increased
Solution Approach 1:
The system performs preliminary gene analysis and bioinformatics analysis on individual pets before conducting the actual matchmaking. Genetic information, external feature information, and introverted feature information are pre-analyzed and stored in the database, so that when breeding pairs need to be matched, the computationally intensive work has already been completed, significantly reducing the time required for the actual matching process while maintaining comprehensive health prediction accuracy.
Solution Approach 2:
The patent implements continuous data collection and analysis through the database unit, which accumulates genetic information, bioinformatics data, and epigenetic analysis results over time. This continuous action allows the system to progressively improve its prediction accuracy while spreading the computational workload across multiple smaller processing tasks rather than requiring one large, time-consuming analysis.
3Measurement precision
If multiple types of information (genetic, non-genetic, epigenetic) are collected, then breeding recommendation accuracy is improved, but information management complexity is increased
Solution Approach 1:
The database unit is designed as a universal information management system that handles multiple types of data (genetic information, bioinformatics data, epigenetic analysis results, external features, and introverted features) through a unified structure. This multi-functional database can store, retrieve, and process diverse information types using consistent protocols, reducing the complexity that would otherwise arise from managing separate systems for each data type.
Solution Approach 2:
The database unit serves as an intermediary layer between the various analysis units and the matching recommendation unit. It standardizes the format and structure of genetic, bioinformatics, and epigenetic information, transforming diverse data types into a unified representation that simplifies the matching process while preserving all necessary information for accurate breeding recommendations.
Data Source
AI summary
The present invention relates to a pet genome-based matchmaking social network system and a method for providing pet genome-based matchmaking information, the system comprising: a gene analysis device unit which provides pet gene analysis information; a bioinformatics information analysis device unit which provides information that may appear during breeding through bioinformatics analysis based on the gene analysis information; a basic information input unit which receives various information about pets from pet owners; a database unit which stores collected and analyzed information; and a pet matching recommendation unit which recommends a pet with the highest matching degree according to an application for matching.