Bio: Discovering Complex Human Health Patterns in Microbiome Data

Human microbiome studies aim to understand the role of the bacterial communities in physiology and disease. This group will use data from the NIH human microbiome project (HMP) for applied statistical analysis and as inspiration for the development of new analysis methods. Specific topics may include:

(i) Integration of 16S rRNA metagenomic, lipidomic, and immunoproteomic data. Other multi-omic analyses based on the public release of NIH HMP 2 data may be possible.

(ii) The role of the microbiome in women’s health. The primary goal of this group is to develop methods to facilitate discovery of patterns in16S rRNA metagenomic data and clinical and demographic data. Data from human subjects will provide the context and motivation for biological discovery and the development of novel analysis methods. Access to clinical data requires rather extensive training, approval processes, and a data use agreement.

Because of the proprietary nature of the data sources, this group is not accepting additional members.