Postmortem interval deduction method based on microbiome sequencing data and machine learning algorithms

• Main Authors: GU YUEQIAN, LIU RUINA, XU JIRU, SHEN MINGWANG, WANG ZHENYUAN
• Format: Patent
• Language: Chinese; English
• Published: 29.05.2020
• Subjects: BEER; BIOCHEMISTRY; CHEMISTRY; COMPOSITIONS OR TEST PAPERS THEREFOR; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES; ENZYMOLOGY; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PHYSICS; PROCESSES OF PREPARING SUCH COMPOSITIONS; SPIRITS; VINEGAR; WINE

The invention discloses a postmortem interval deduction method based on microbiome sequencing data and machine learning algorithms. The method comprises the following steps: by taking DNA (deoxyribonucleic acid) which is extracted from cecum samples of dead bodies of mice as a template, designing primers for 16S rDNA of microorganisms, performing (polymerase chain reaction) amplification constructing a gene library by using amplification products, and performing sequencing; performing OTUs (operational taxonomic units) clustering and species taxonomy analysis on effective sequencing data; andon the basis of abundance distribution situations of species, removing species classes with small relative abundance and interclass variance variation, performing extraction so as to obtain characteristic microorganism varieties for constructing a postmortem interval deduction model, and training a artificial neural network by using sample microorganism abundance data at different time points after death of the mice, so a