Visualize Genome Coverage with Various Annotations
person(given = "Yabing",
family = "Song",
role = c("aut", "cre"),
email = "songyb0519@gmail.com")
The goal of 'ggcoverage' is to simplify the process of visualizing genome coverage. It contains functions to
load data from BAM, BigWig or BedGraph files, create genome coverage plot, add various annotations to
the coverage plot, including base and amino acid annotation, GC annotation, gene annotation, transcript annotation, ideogram annotation and peak annotation.
dplyr, GenomicRanges, ggbio, ggh4x, ggplot2, ggrepel,
grDevices, IRanges, magrittr, patchwork, RColorBrewer, rlang,
Rsamtools, rtracklayer, scales, stats, utils, methods,
GenomeInfoDb, S4Vectors, Biostrings, BSgenome,
GenomicAlignments, reshape2, seqinr
rmarkdown, knitr, BiocStyle, htmltools,
BSgenome.Hsapiens.UCSC.hg19, graphics

Analyze and Create Elegant Directed Acyclic Graphs
person("Malcolm", "Barrett",
email = "malcolmbarrett@gmail.com",
role = c("aut", "cre"))
Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is
built on top of 'dagitty', an R package that uses the 'DAGitty' web tool
(<http://dagitty.net>) for creating and analyzing DAGs. 'ggdag' makes it
easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as
well as common analytic and graphical functions, such as determining
adjustment sets and node relationships.
dagitty, ggraph, dplyr, purrr, stringr, tibble, forcats,
ggrepel, igraph, magrittr, ggforce, plyr, tidygraph

person(given = "Malcolm",
family = "Barrett",
role = c("aut", "cre"),
email = "malcolmbarrett@gmail.com",
comment = c(ORCID = "0000-0003-0299-5825"))
Tidy, analyze, and plot directed acyclic graphs
(DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses
the 'DAGitty' web tool (<http://dagitty.net>) for creating and
analyzing DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty'
objects using 'ggplot2' and 'ggraph', as well as common analytic and
graphical functions, such as determining adjustment sets and node
relationships.
dagitty, dplyr, forcats, ggforce, ggraph (>= 2.0.0), ggrepel,
igraph, magrittr, pillar, plyr, purrr, stringr, tibble,
tidygraph
Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)