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#' Connect and parse UniProt information.
#'
#' This Function is used to get diseases associated with proteins.
#'
#' @usage Get.diseases(Pathology_object , directorypath = NULL)
#'
#' @param Pathology_object Dataframe retrieved from UniprotR Function "GetPathology_Biotech"
#'
#' @param directorypath path to save Output file
#'
#' @author Mohmed Soudy \email{Mohamed.soudy@57357.com} and Ali Mostafa \email{ali.mo.anwar@std.agr.cu.edu.eg}
#'
#' @export
#'
Get.diseases <- function(Pathology_object, directorypath = NULL)
{
Disease <- select(Pathology_object, "Involvement.in.disease")
Disease <- setNames(data.frame(Disease[!is.na(Disease$Involvement.in.disease),]), "Involvement.in.disease")
if (dim(Disease)[1] == 0)
{
return(NULL)
}
Protein.disease <- NULL
Disease.count.list <- setNames(data.frame(unlist(str_extract_all(Disease$Involvement.in.disease ,"DISEASE:(.*?)]"))), "DISEASE")
Disease.count <- setNames(data.frame(plyr::count(Disease.count.list , "DISEASE")), c("Disease", "Numberofproteins"))
Disease.count$Disease <- gsub("DISEASE: " , "" , Disease.count$Disease)
Disease.count <- Disease.count[order(Disease.count$Numberofproteins, decreasing = T),]
#Get OMIM Ids
#OMIMID <- do.call('rbind', strsplit(unlist(ex_between(Disease.count$Disease ,"[", "]")), ":"))[,2]
#Disease.count$OMIMID <- CreateOMIMlink(OMIMID)
if(!is.null(directorypath))
{
write.csv(x = Disease.count, file = paste0(directorypath, "/", "Diseases.csv"))
}
return(Disease.count)
}
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