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#' Connect and parse UniProt information
#'
#' This function is used to generate a combined plot for the enriched pathways from KEGG and REACTOME
#'
#' @usage PlotEnrichedPathways(Accs,OS="hsapiens",p_value=0.05,Path=NULL,theme="aaas",w=w,h=h)
#'
#' @param Accs Vector of UniProt Accession/s or genes
#'
#' @param OS organism name Example: human - 'hsapiens', mouse - 'mmusculus'
#'
#' @param p_value custom p-value threshold for significance, default = 0.05
#'
#' @param theme optional parameter to generate specific theme for journals ex: "aaas", "nature", "lancet", "jama"
#'
#' @param Path Path to save output plot
#'
#' @param w width of the generated plot
#'
#' @param h height of the generated plot
#'
#' @export
#'
#' @author Mohmed Soudy \email{Mohamed.soudy@57357.com} and Ali Mostafa \email{ali.mo.anwar@std.agr.cu.edu.eg}
#'
PlotEnrichedPathways <- function(Accs,OS="hsapiens",p_value=0.05,Path=NULL,theme="aaas",w=w,h=h)
{
Enr.data <- gost(Accs)
Enr.frame <- Enr.data$result
Pathways <- Enr.frame[Enr.frame$source %in% c("KEGG", "REAC"),]
Pathways$`-log10 (p)` <- -log10(Pathways$p_value)
P <- ggbarplot(Pathways, x = "term_name", y = "-log10 (p)",
fill = "source",
color = "white",
palette = "jco",
sort.val = "asc",
sort.by.groups = TRUE,
x.text.angle = 90
)
if (tolower(theme) == "aaas")
P <- P + scale_fill_aaas() + xlab("") + coord_flip()
if (tolower(theme) == "lancet")
P <- P + scale_fill_lancet() + xlab("") + coord_flip()
if (tolower(theme) == "jama")
P <- P + scale_fill_jama() + xlab("") + coord_flip()
if (tolower(theme) == "nature")
P <- P + scale_fill_nejm() + xlab("") + coord_flip()
if (!is.null(Path))
{
if (dim(Pathways)[1] < 50)
ggsave(path = Path, filename = "Significant Pathways.jpeg", plot = P,width = w, height = h, dpi = 300)
if (dim(Pathways)[1] > 50)
ggsave(path = Path, filename = "Significant Pathways.jpeg", plot = P,width = w, height = h, dpi = 300)
}
plot(P)
}
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