Data and Statistical Methods To Analyze the Human Microbiome

Summary:

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>>