Fig. 1

Overview of bedr package. bedr can run on a commodity linux based computer or a cloud/cluster. Users can interface with the underlying driver engines such as BEDTools/BEDOPS/tabix/GenomicRanges through bedr methods in R. This enables integration of user-specified multiple genomic intervals with reference data sources such as gene annotations (e.g. UCSC) and disease specific features (e.g. COSMIC). Such integration spans general-purpose genomic interval operations of intersection (*), union (sum) and joins. Output is returned in R friendly data structures for convenience in subsequent downstream analyses. These data structures are readily convertible to standard data exchange formats such as BED and GRanges using bedr utility methods