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#' Connect and parse UniProt information.
#'
#' This Function is used to plot the retrieved Gene Ontology from function 'GetProteinGOInfo'.
#'
#' @usage PlotGOAll(GOObj, Top = 10, directorypath = NULL, width = width, height = height)
#'
#' @param GOObj Dataframe returned from UniprotR Function "GetProteinGOInfo"
#'
#' @param Top Number of molecular functions to be visualized
#'
#' @param directorypath path to save Output plot.
#'
#' @param width width of the generated plot
#'
#' @param height height of the generated plot
#'
#' @author Mohmed Soudy \email{Mohamed.soudy@57357.com} and Ali Mostafa \email{ali.mo.anwar@std.agr.cu.edu.eg}
#'
#' @export
#'
PlotGOAll <- function(GOObj, Top = 10, directorypath = NULL, width = width, height = height)
{
BiologicalDF <- Goparse(GOObj, 3)
if (dim(BiologicalDF)[1] < 10)
Top <- dim(BiologicalDF)[1]
BiologicalDF <- BiologicalDF[1:Top, ]
BiologicalDF <- na.omit(BiologicalDF)
BiologicalDF$source <- "BP"
CellularDF <- Goparse(GOObj, 5)
if (dim(CellularDF)[1] < 10)
Top <- dim(CellularDF)[1]
CellularDF <- CellularDF[1:Top, ]
CellularDF <- na.omit(CellularDF)
CellularDF$source <- "CC"
MolecularDF <- Goparse(GOObj, 4)
if (dim(MolecularDF)[1] < 10)
Top <- dim(MolecularDF)[1]
MolecularDF <- MolecularDF[1:Top, ]
MolecularDF <- na.omit(MolecularDF)
MolecularDF$source <- "MF"
GO.terms <- rbind(BiologicalDF, CellularDF)
GO.terms <- rbind(GO.terms, MolecularDF)
P <- ggbarplot(GO.terms, x = "Goterm", y = "Count",
fill = "source",
color = "white",
palette = "jco",
sort.val = "asc",
sort.by.groups = TRUE,
x.text.angle = 90
)
P <- P + scale_fill_lancet() + coord_flip() + xlab("") + theme(legend.title = element_blank())
if(!is.null(directorypath))
{
ggsave(plot = P, filename = paste0(directorypath, "/", "GO All.jpeg"), device = "jpeg", width = width, height = height)
}
plot(P)
}
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