Evaluating Bioinformatic Pipeline Performance for Forensic Microbiome Analysis*,†,‡

Microbial communities have potential evidential utility for forensic applications. However, bioinformatic analysis of high-throughput sequencing data varies widely among laboratories. These differences can potentially affect microbial community composition and downstream analyses. To illustrate the importance of standardizing methodology, we compared analyses of postmortem microbiome samples using several bioinformatic pipelines, varying minimum library size or minimum number of sequences per sample, and sample size. Using the same input sequence data, we found that three open-source bioinformatic pipelines, MG-RAST, mothur, and QIIME2, had significant differences in relative abundance, alpha-diversity, and beta-diversity, despite the same input data. Increasing minimum library size and sample size increased the number of low-abundant and infrequent taxa detected. Our results show that bioinformatic pipeline and parameter choice affect results in important ways. Given the growing potential application of forensic microbiology to the criminal justice system, continued research on standardizing computational methodology will be important for downstream applications.     

An experimental trial of a dog-training program in a juvenile detention center

Journal of Experimental Criminology - This research examines the effect of a dog-training program among juveniles ordered to a county juvenile detention facility in a large, Midwestern city. A...     

Causal inference and American political development: common challenges and opportunities

Public Choice - The causal inference (CI) movement has forced political scientists to think far more seriously about what can be learned from a particular research design and to be more attentive...     

The determinants of democracy: a sensitivity analysis

Public Choice - Numerous studies—operating with diverse model specifications, samples and empirical measures—suggest different economic, social, cultural, demographic, institutional and...