Genomic datasets are often interpreted in the context of large-scale reference 
databases. One approach is to identify significantly overlapping gene sets, 
which works well for gene-centric data. However, many types of high-throughput 
data are based on genomic regions. Locus Overlap Analysis (LOLA) provides easy 
and automatable enrichment analysis for genomic region sets, thus facilitating 
the interpretation of functional genomics and epigenomics data.
AVAILABILITY AND IMPLEMENTATION: R package available in Bioconductor and on the 
following website: http://lola.computational-epigenetics.org.