omicRexposome is an R package for extending rexposome capabilities and include exposome-omic data analysis and integration. It depends in a series of third party R packages to provide:
snpStatslimmaomicade4 and multi canonical correlation analysis from PMAomicRexposome requires R version equal or newer than 3.3.0. The following script allows to install rexposome dependencies:
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
packages = c('Biobase', 'methods', 'snpStats', 'limma', 'sva', 'ggplot2',
'ggrepel', 'PMA', 'omicade4', 'ggplot2', 'qqman', 'gridExtra'
)
for( pkg in packages ) {
if( !pkg %in% rownames( installed.packages() ) ) {
message( "Installing ", pkg )
BiocManager::install( pkg )
}
}
The package can be installed using the R package devtools. devtools can be installed win the following code:
install.packages("devtools")
Once devtools and the dependences are installed, the following code installs omicRexposome and the basic dependence rexposome:
devtools::install_github("isglobal-brge/rexposome")
devtools::install_github("isglobal-brge/omicRexposome")
Exposome-Omic Association is done using the function assocES. This function requires an argument x being an ExposomeSet and an argument y being an ExpressionSet with the correct omic data (gene expression for transcriptome, betas or Ms for methylome, and protein level for proteome).
plotAssociation allows to plot the result of all assoc* functions having an argument type that can takes:"manhattan" to draw a typical Manhattan plot"protein" to draw an adapted version of a Manhattan plot for protein data"volcano" to draw a volcano plot, having the option to fill the arguments tPV (significant P-Value) and tFC (significant fold change)"qq" to draw a standard QQ plotFunction crossomics allows to perform a multi-omic integration join exposome by selecting one of the available methods ("mcia" or "mcca"). The main argument, called list, must be filled with a list of ExpressionSets (plus ExposomeSets).
plotIntegration allows to plot the results of crossomics, having a proper visualization for each method.Any scripts or data that you put into this service are public.
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