Building on the lab’s interest in sharing tools with the research community, we are developing project-relevant R packages and Shiny applications including test data and instructional vignettes to facilitate exploration, visualization, and analysis of multidimensional data sets. Such tools will accelerate future discoveries by allowing more rapid analysis of the relationships among genomic data sets and with disease, as well as increase research reproducibility in data-driven approaches to complex disease research.

Associated Publications

RNA sequencing-based cell proliferation analysis across 19 cancers identifies a subset of proliferation-informative cancers with a common survival signature

aRNApipe: a balanced, efficient and distributed pipeline for processing RNA-seq data in high-performance computing environments