Fit penalized multivariable linear mixed models with a single
random effect to control for population structure in genetic association
studies. The goal is to simultaneously fit many genetic variants at the
same time, in order to select markers that are independently associated
with the response. Can also handle prior annotation information,
for example, rare variants, in the form of variable weights. For more
information, see the website below and the accompanying paper:
Bhatnagar et al., "Simultaneous SNP selection and adjustment for
population structure in high dimensional prediction models", 2020,
<DOI:10.1371/journal.pgen.1008766>.

c(
person("Haley", "Jeppson", email = "hjeppson@iastate.edu", role = c("aut", "cre")),
person("Heike", "Hofmann", email = "hofmann@iastate.edu", role = "aut"),
person("Di", "Cook", email = "dicook@monash.edu", role = "aut"),
person("Hadley", "Wickham", email = "hadley@rstudio.com", role = "ctb"))
Mosaic plots in the 'ggplot2' framework. Mosaic plot functionality
is provided in a single 'ggplot2' layer by calling the geom 'mosaic'.
plotly (>= 4.5.5), dplyr, purrr, tidyr, gridExtra, NHANES
Haley Jeppson [aut, cre],
Heike Hofmann [aut],
Di Cook [aut],
Hadley Wickham [ctb]

c(person(given = "Haley",
family = "Jeppson",
role = c("aut", "cre"),
email = "hjeppson@iastate.edu"),
person(given = "Heike",
family = "Hofmann",
role = "aut",
email = "hofmann@iastate.edu"),
person(given = "Di",
family = "Cook",
role = "aut",
email = "dicook@monash.edu"),
person(given = "Hadley",
family = "Wickham",
role = "ctb",
email = "hadley@rstudio.com"))
Mosaic plots in the 'ggplot2' framework. Mosaic
plot functionality is provided in a single 'ggplot2' layer by calling
the geom 'mosaic'.
dplyr, plotly (>= 4.5.5), productplots (>= 0.1.1), purrr,
rlang, tidyr

productplots, dplyr, plotly (>= 4.5.5), purrr, rlang, tidyr,
ggrepel, scales
gridExtra, knitr, NHANES, rmarkdown, patchwork

Extract and Visualize Motif Information from MEME Software
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.