| Description |
This study collected fecal and saliva samples from 50 individuals of two different occupations, labourers and students, for metagenomic research and analysis, and studied the diversity and functional activity of microbial flora and other macro characteristics of different people from the perspectives of occupation, gender, smoking and drinking, etc. Moreover, machine learning method was used to deeply mine microbial metadata and build identity information prediction model. To explore the practical application value of microbiology in forensic medicine. |
