Create a web-based framework for integrating non-coding genomic variation and differential epigenetic states. This EpiSuite interface and set of machine-learning algorithms will help ongoing work with the NASA Twins study and aid future investigations that leverage multi-omics data sets from astronauts. These data will also be linked to gene expression data to gauge the impact of genetic

and epigenetic changes on specific biological networks.

Validate the altered chromatin states in cells from space travel and measure the proportion of cells changed with single-cell ATAC-seq using an assay called single cell (scATAC-seq), which can measure the sites of open and closed chromatin on a cell-by-cell basis. This will validate the sites where epigenetic changes are observed and also provide the first estimate of the proportion of

cells epigenetically impacted by space travel.