The ggbio package extends and specializes the grammar of
        graphics for biological data. The graphics are designed to
        answer common scientific questions, in particular those often
        asked of high throughput genomics data. All core Bioconductor
        data structures are supported, where appropriate. The package
        supports detailed views of particular genomic regions, as well
        as genome-wide overviews. Supported overviews include ideograms
        and grand linear views. High-level plots include sequence
        fragment length, edge-linked interval to data view, mismatch
        pileup, and several splicing summaries.
c(person("Tengfei", "Yin", role=c("aut"),
                 email="yintengfei@gmail.com"),
          person("Michael", "Lawrence", role=c("aut", "ths", "cre"),
                 email="michafla@gene.com"),
          person("Dianne", "Cook", role=c("aut", "ths")),
          person("Johannes", "Rainer", role="ctb"))
methods, BiocGenerics, ggplot2 (>= 1.0.0)
grid, grDevices, graphics, stats, utils, gridExtra, scales,
reshape2, gtable, Hmisc, biovizBase (>= 1.29.2), Biobase,
S4Vectors (>= 0.13.13), IRanges (>= 2.11.16), GenomeInfoDb (>=
1.1.3), GenomicRanges (>= 1.29.14), SummarizedExperiment,
Biostrings, Rsamtools (>= 1.17.28), GenomicAlignments (>=
1.1.16), BSgenome, VariantAnnotation (>= 1.11.4), rtracklayer
(>= 1.25.16), GenomicFeatures (>= 1.29.11), OrganismDbi,
GGally, ensembldb (>= 1.99.13), AnnotationDbi,
AnnotationFilter, rlang
vsn, BSgenome.Hsapiens.UCSC.hg19, Homo.sapiens,
TxDb.Hsapiens.UCSC.hg19.knownGene,
TxDb.Mmusculus.UCSC.mm9.knownGene, knitr, BiocStyle, testthat,
EnsDb.Hsapiens.v75, tinytex
AllClasses.R AllGenerics.R Cache-class.R GGbio-class.R
Grob-class.R ideogram.R Tracked-class.R Plot-class.R
ggplot-method.R theme.R Tracks-class.R geom_chevron-method.R
geom_alignment-method.R geom_arch-method.R geom_arrow-method.R
geom_arrowrect-method.R geom_rect-method.R
geom_segment-method.R geom_bar-method.R layout_circle-method.R
layout_karyogram-method.R layout_linear-method.R
stat_aggregate-method.R stat_coverage-method.R
stat_identity-method.R stat_mismatch-method.R
stat_stepping-method.R stat_gene-method.R stat_table-method.R
stat_bin-method.R stat_slice-method.R stat_reduce-method.R
coord_genome-method.R autoplot-method.R hack.R
plotGrandLinear.R plotRangesLinkedToData.R
plotFragLength-method.R plotSpliceSum-method.R rescale-method.R
scales.R utils.R zzz.R
Tengfei Yin [aut],
  Michael Lawrence [aut, ths, cre],
  Dianne Cook [aut, ths],
  Johannes Rainer [ctb]