Microbiome, untargeted metabolomics, and other -omics data has high potential for changing how biomarker discovery research is done in gut health in production of food animals. Although much research has been done and published in this area, the difficulty of analyzing this data and high risk of false positives has slowed down product development. BioRankings believes biostatistics, and not just bioinformatics, is needed to improve research and development, identify actionable biomarkers, and generate reproducible results. Building on decades of biostatistical analysis of -omics data in basic life sciences research and development, BioRankings provides statistical software that is unbiased, fast, and supports a wide range of experimental designs (e.g., one-way and multiway ANOVA, repeated measures, batch effects) and analyses (e.g., hypothesis testing, mean and confidence interval estimation). In this talk we show examples of software-as-a-service tools for untargeted metabolomics peak detection, microbiome hypothesis testing, and multi-omics regression analysis. Users can try this software for free with their data.
Presented at the 10th Symposium on Gut Health in Production of Food Animals 2022, St. Louis, USA.