Data and Statistical Methods To Analyze the Human Microbiome


The Waldron lab for computational biostatistics bridges the areas of cancer genomics and microbiome studies for public health, developing methods to exploit publicly available data resources and to integrate -omics studies. Waldron Lab’s research discusses methods and resources for robust identification of differentially abundant microbes and predictive models of microbiome-linked health outcomes. It summarizes lessons from high-dimensional data analysis for cancer genomics and efforts by the lab to leverage and adapt the Bioconductor project for analysis and comprehension of high-throughput genomic data to bring value-added published data, meta-analysis, and methods for multiomic data analysis to the microbiome community.

Citation: Waldron L. Data and Statistical Methods To Analyze the Human Microbiome. mSystems. 2018;3(2):e00194-17. doi:10.1128/mSystems.00194-17. Link to Article>>