Mercurial > repos > dereeper > pangenome_explorer
diff PanExplorer_workflow/R/heatmap_ani.R @ 1:032f6b3806a3 draft
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author | dereeper |
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date | Thu, 30 May 2024 11:16:08 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/PanExplorer_workflow/R/heatmap_ani.R Thu May 30 11:16:08 2024 +0000 @@ -0,0 +1,73 @@ +#!/usr/local/R-4.1.2/bin/R + +library(RColorBrewer) +library(dendextend) +library("optparse") + +#args = commandArgs(trailingOnly=TRUE) + +option_list = list( + make_option(c("-f", "--file"), type="character", default=NULL, + help="dataset file name", metavar="character"), + make_option(c("-o", "--out"), type="character", default="out.txt", + help="output file name [default= %default]", metavar="character") +); +opt_parser = OptionParser(option_list=option_list); +opt = parse_args(opt_parser); + +if (is.null(opt$file)){ + print_help(opt_parser) + stop("At least one argument must be supplied (input file).\n", call.=FALSE) +} + +if (is.null(opt$out)){ + print_help(opt_parser) + stop("At least one argument must be supplied (out file).\n", call.=FALSE) +} + +#svglite(opt$out,width = 31, height = 28) +pdf(opt$out,width = 31,height = 28) + +mydata <- read.table(opt$file, header=TRUE,sep="\t", row.names="Genomes") + +iris <- mydata + +#dend_r <- iris %>% dist(method = "man") %>% hclust(method = "ward.D") %>% as.dendrogram %>% ladderize +dend_r <- iris %>% dist(method = "man") %>% hclust(method = "com") %>% as.dendrogram %>% ladderize + +#dend_c <- t(iris) %>% dist(method = "man") %>% hclust(method = "com") %>% as.dendrogram %>% ladderize +dend_c <- t(iris) %>% dist(method = "man") %>% hclust(method = "ward.D") %>% as.dendrogram %>% ladderize + + +#write(hc2Newick(dend_c),file='hclust.newick') +Colors=c("yellow","red") +Colors=colorRampPalette(Colors)(100) +mat <- as.matrix(t(iris-1)) +out <- gplots::heatmap.2(mat, + main = "", + scale="none", + #srtCol=NULL, + Rowv = dend_r, + Colv = dend_r, + #key = FALSE, + margins =c(20,20), + col=Colors, + trace="row", hline = NA, tracecol = NA + ) + +write.table( + data.frame(gene = rownames(mat)[out$rowInd]), + paste(opt$out, "rows.csv", sep="."), + row.names = FALSE, + quote = FALSE, + sep = ',') + +write.table( + data.frame(gene = colnames(mat)[out$colInd]), + paste(opt$out, "cols.csv", sep="."), + row.names = FALSE, + quote = FALSE, + sep = ',') + +dev.off() +