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Title: A novel statistical approach on trace evidence using human microbiome Authors:  Lingling An - University of Arizona (United States) [presenting]
Abstract: Microbial forensics is a fast growing field. New research opportunities are emerging in the examination of trace evidence and human identification using microbiome. However, there is a lack of statistical and computational methods for analyzing the microbiome data for this purpose. The authors develop rigorous statistical methods and computational algorithms to estimate the probability of individuals presence at the scene of crime based on the microbial materials collected at the scene. Specifically, they can accurately identify sources or individuals from noisy metagenomic data and can even detect if there is any individual who was at the scene of a crime but is omitted from being considered as a suspect.