PT - JOURNAL ARTICLE AU - Lili Blumenberg AU - Emily Kawaler AU - MacIntosh Cornwell AU - Shaleigh Smith AU - Kelly Ruggles AU - David Fenyƶ TI - BlackSheep: A Bioconductor and Bioconda package for differential extreme value analysis AID - 10.1101/825067 DP - 2019 Jan 01 TA - bioRxiv PG - 825067 4099 - http://biorxiv.org/content/early/2019/11/11/825067.short 4100 - http://biorxiv.org/content/early/2019/11/11/825067.full AB - Unbiased assays such as shotgun proteomics and RNA-seq provide high-resolution molecular characterization of tumors. These assays measure molecules with highly varied distributions, making interpretation and hypothesis testing challenging. Samples with the most extreme measurements for a molecule can reveal the most interesting biological insights, yet are often excluded from analysis. Furthermore, rare disease subtypes are, by definition, underrepresented in cancer cohorts. To provide a strategy for identifying molecules aberrantly enriched in small sample cohorts, we present BlackSheep--a package for non-parametric description and differential analysis of genome-wide data, available at https://github.com/ruggleslab/blackSheep. BlackSheep is a complementary tool to other differential expression analysis methods that may be underpowered when analyzing small subgroups in a larger cohort.