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#' Connect and parse UniProt information.
#'
#' This Function is used to cluster proteins based on primary genes retrieved from "GetNamesTaxa" Function.
#'
#' @usage PlotGenesNetwork(ProteinDataObject , directorypath = NULL)
#'
#' @param ProteinDataObject Dataframe retrieved from UniprotR Function "GetNamesTaxa"
#'
#' @param directorypath path to save Output plot.
#'
#' @author Mohmed Soudy \email{Mohamed.soudy@57357.com} and Ali Mostafa \email{ali.mo.anwar@std.agr.cu.edu.eg}
#'
#' @export
#'
PlotGenesNetwork <- function(ProteinDataObject, directorypath = NULL)
{
ProteinDataObject <- ProteinDataObject %>% select(3)
ProteinDataObject <- na.omit(ProteinDataObject)
UniqueLocis <- unique(ProteinDataObject$Gene.names...primary..)
ChromoTree <- Node$new("GeneNames")
for (loc in UniqueLocis) {
loca <- ChromoTree$AddChild(loc)
Frequencyindecies <- which(ProteinDataObject$Gene.names...primary.. %in%
loc)
for (index in Frequencyindecies) {
locaa <- loca$AddChild(rownames(ProteinDataObject)[index])
}
}
#plot with networkD3
useRtreeList <- ToListExplicit(ChromoTree, unname = TRUE)
Net <- radialNetwork(useRtreeList)
if(!is.null(directorypath))
{
saveWidget(Net, file = paste0(directorypath,"/", "Protein clustering.html"))
}
return(Net)
}
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