Abstract: 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.

Abstract: The present invention relates to a method of discovering a marker for predicting a risk of depression or suicide using multi-omics analysis and machine learning, and a marker for predicting a risk of depression or suicide, discovered by the method. According to the method for discovering a marker for predicting a risk of depression or suicide, the marker for predicting the risk of depression or suicide may be discovered with high accuracy and reliability, and the risk of depression or suicide can be diagnosed and prevented at an early stage through genetic testing.