Title: Mosaic Plots in the 'ggplot2' Framework
person("Haley", "Jeppson", email = "hjeppson@iastate.edu", role = c("aut", "cre")),
person("Di", "Cook", email = "dicook@monash.edu", role = "aut"),
Description: Mosaic plots in the 'ggplot2' framework. Mosaic plot functionality
is provided in a single 'ggplot2' layer by calling the geom 'mosaic'.
Imports: plotly (>= 4.5.5), dplyr, purrr, tidyr, gridExtra, NHANES

Description: Mosaic plots in the 'ggplot2' framework. Mosaic
plot functionality is provided in a single 'ggplot2' layer by calling
Imports: dplyr, plotly (>= 4.5.5), productplots (>= 0.1.1), purrr,
Suggests: gridExtra, knitr, NHANES, rmarkdown

Imports: productplots, dplyr, plotly (>= 4.5.5), purrr, rlang, tidyr,
Suggests: gridExtra, knitr, NHANES, rmarkdown, patchwork

Title: Extract and Visualize Motif Information from MEME Software
Description: Extract and visualize motif information from XML file from MEME software.
In biology, a motif is a nucleotide or amino acid sequence pattern that is widespread
and usually assumed to be related to specifical biological functions.
There exist many software was used to discover motif sequences from a set of nucleotide
or amino acid sequences. MEME is almost the most used software to detect motif.
It's difficult for biologists to extract and visualize the location of a motif
on sequences from the results from MEME software.
Packaged: 2021-09-18 01:04:28 UTC; Administrator

Imports: tidyverse, dplyr, XML, magrittr, ggplot2, stringr, ggtree,
ape, patchwork, ggseqlogo, memes, universalmotif, treeio,

Title: Generalized Gauss Markov Regression
Description: Implements the generalized Gauss Markov regression, this is useful when both predictor and response have uncertainty attached to them and also when covariance within the predictor, within the response and between the predictor and the response is present. Base on the results published in guide ISO/TS 28037 (2010) <https://www.iso.org/standard/44473.html>.

Title: Plot Multiple Sequence Alignment using 'ggplot2'
Authors@R: c( person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6485-8781")),
person("Lang", "Zhou",      email = "nyzhoulang@gmail.com",    role = "aut"),
person("Huina", "Huang",    email = "1185796994@qq.com",       role = "ctb"))
Description: Supports visualizing multiple sequence alignment of DNA and protein sequences using 'ggplot2'. It supports a number of colour schemes, including Chemistry, Clustal, Shapely, Taylor and Zappo. Multiple sequence alignment can easily be combined with other 'ggplot2' plots, such as aligning a phylogenetic tree produced by 'ggtree' with multiple sequence alignment.
Imports: ggplot2, ggseqlogo, magrittr, tidyr, treeio, utils