methods, Biostrings, RColorBrewer, ShortRead, ape, ggnetwork,
ggplot2, igraph, network, phangorn, stringdist, visNetwork,
reshape2, S4Vectors, shiny, ggseqlogo, ggtree, foreach,
doParallel, dplyr, VennDiagram, futile.logger

methods, Biostrings, RColorBrewer, ShortRead, ape, ggnetwork,
ggplot2, ggraph, igraph, network, phangorn, stringdist,
visNetwork, reshape2, S4Vectors, shiny, ggseqlogo, ggtree,
dplyr, VennDiagram, futile.logger, future, future.apply, tools

methods, RColorBrewer, ape, ggnetwork, ggplot2, ggraph,
igraph, network, phangorn, stringdist, visNetwork, reshape2,
S4Vectors, shiny, ggseqlogo, ggtree, dplyr, VennDiagram,
futile.logger, future, future.apply, tools, ShortRead,
Biostrings
'BCdata-class.R' 'BCdata-class-methods.R'
'analysis_functions.R' 'data.R' 'error_correction_function.R'
'helper_functions.R' 'plot_functions.R' 'raw_data_processing.R'

c(
person("Jacob", "Cardenas", email = "jacob.cardenas@bswhealth.org",
role = c("aut", "cre")), person("Jacob", "Turner", role = "aut"),
person("Derek", "Blankenship", role = "aut")
)
A set of functions to generate and format results from statistical
analyses of a wide range of high throughput experiments that can then
be uploaded into the 'BART' (Bio-Statistical Analysis Reporting Tool) 'shiny'
app <https://github.com/jcardenas14/BART>. The app provides users with tools
to visualize and efficiently sift through large amounts of data and results.
Jacob Cardenas [aut, cre],
Jacob Turner [aut],
Derek Blankenship [aut]

An implementation of the MOSS algorithm for the analysis of GWAS
data
Matthew Friedlander and Laurent Briollais
The MOSS algorithm is a Bayesian variable selection
procedure that is applicable to GWAS data. It identifies
combinations of the best predictive SNPs associated with the
response. It also performs a hierarchical log-linear model
search to identify the most relevant associations among the
resulting subsets of SNPs.

Functions for the Bayesian analysis of GWAS data
Matthew Friedlander, Adrian Dobra, Helene Massam, and Laurent Briollais
The genMOSS package implements the Mode Oriented Stochastic Search (MOSS) algorithm as well as a simple moving window approach to look for combinations of SNPs that are associated with a response.