R (>= 3.3.0), methods, utils, stats, stats4, BiocGenerics (>=
0.23.3)

IRanges, GenomicRanges, SummarizedExperiment, Matrix,
DelayedArray, ShortRead, graph, data.table, RUnit, BiocStyle

S4-utils.R show-utils.R utils.R normarg-utils.R LLint-class.R
isSorted.R subsetting-utils.R vector-utils.R integer-utils.R
character-utils.R raw-utils.R eval-utils.R map_ranges_to_runs.R
DataTable-class.R Annotated-class.R Vector-class.R
Vector-comparison.R Vector-setops.R Vector-merge.R Hits-class.R
Hits-comparison.R Hits-setops.R Rle-class.R Rle-utils.R
List-class.R List-comparison.R List-utils.R SimpleList-class.R
HitsList-class.R DataFrame-class.R Pairs-class.R
expand-methods.R FilterRules-class.R aggregate-methods.R
shiftApply-methods.R split-methods.R zzz.R

c(person(given = "Hadley",
             family = "Wickham",
             role = c("aut", "cre"),
             email = "hadley@rstudio.com"),
      person(given = "Lionel",
             family = "Henry",
             role = "aut",
             email = "lionel@rstudio.com"),
      person(given = "Davis",
             family = "Vaughan",
             role = "aut",
             email = "davis@rstudio.com"),
      person(given = "RStudio",
             role = "cph"))

Defines new notions of prototype and size that are
    used to provide tools for consistent and well-founded type-coercion
    and size-recycling, and are in turn connected to ideas of type- and
    size-stability useful for analysing function interfaces.

ellipsis (>= 0.2.0), digest, glue, rlang (>= 0.4.5)

bit64, covr, crayon, generics, knitr, pillar (>= 1.4.1),
pkgdown, rmarkdown, testthat (>= 2.3.0), tibble, xml2, zeallot

Hadley Wickham [aut, cre],
  Lionel Henry [aut],
  Davis Vaughan [aut],
  RStudio [cph]

Foundation of integer range manipulation in Bioconductor

Provides efficient low-level and highly reusable S4
	classes for storing, manipulating and aggregating over annotated
	ranges of integers. Implements an algebra of range operations,
	including efficient algorithms for finding overlaps and nearest
	neighbors. Defines efficient list-like classes for storing,
	transforming and aggregating large grouped data, i.e., collections
	of atomic vectors and DataFrames.