HIGHLIGHTS
SUMMARY
Genome-wide analyses can provide valuable insights into biological systems and human disease by revealing patterns of features that may be missed by interrogation of individual loci. This can be challenging since many common covariates (e_g, GC content, gene density, histone acetylation, chromatin accessibility, etc.) are not uniformly distributed throughout the genome and must therefore be explicitly controlled when selecting null sets of loci Subject Section Davis et_al The matchRanges workflow To generate a covariate-matched set of ranges, users can provide data.frame, GRanges or GInteractions R objects annotated with columns describing one . . .
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