annotate R/heatmap_ani.R @ 15:dbde253606c5 draft

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author dereeper
date Wed, 11 Dec 2024 08:25:06 +0000
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1 #!/usr/local/R-4.1.2/bin/R
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2
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3 library(RColorBrewer)
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4 library(dendextend)
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5 library("optparse")
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6
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7 #args = commandArgs(trailingOnly=TRUE)
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8
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9 option_list = list(
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10 make_option(c("-f", "--file"), type="character", default=NULL,
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11 help="dataset file name", metavar="character"),
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12 make_option(c("-o", "--out"), type="character", default="out.txt",
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13 help="output file name [default= %default]", metavar="character")
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14 );
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15 opt_parser = OptionParser(option_list=option_list);
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16 opt = parse_args(opt_parser);
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18 if (is.null(opt$file)){
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19 print_help(opt_parser)
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20 stop("At least one argument must be supplied (input file).\n", call.=FALSE)
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21 }
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22
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23 if (is.null(opt$out)){
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24 print_help(opt_parser)
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25 stop("At least one argument must be supplied (out file).\n", call.=FALSE)
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26 }
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27
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28 #svglite(opt$out,width = 31, height = 28)
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29 pdf(opt$out,width = 31,height = 28)
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31 mydata <- read.table(opt$file, header=TRUE,sep="\t", row.names="Genomes")
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32
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33 iris <- mydata
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34
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35 #dend_r <- iris %>% dist(method = "man") %>% hclust(method = "ward.D") %>% as.dendrogram %>% ladderize
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36 dend_r <- iris %>% dist(method = "man") %>% hclust(method = "com") %>% as.dendrogram %>% ladderize
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37
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38 #dend_c <- t(iris) %>% dist(method = "man") %>% hclust(method = "com") %>% as.dendrogram %>% ladderize
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39 dend_c <- t(iris) %>% dist(method = "man") %>% hclust(method = "ward.D") %>% as.dendrogram %>% ladderize
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42 #write(hc2Newick(dend_c),file='hclust.newick')
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43 Colors=c("yellow","red")
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44 Colors=colorRampPalette(Colors)(100)
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45 mat <- as.matrix(t(iris-1))
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46 out <- gplots::heatmap.2(mat,
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47 main = "",
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48 scale="none",
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49 #srtCol=NULL,
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50 Rowv = dend_r,
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51 Colv = dend_r,
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52 #key = FALSE,
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53 margins =c(20,20),
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54 col=Colors,
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55 trace="row", hline = NA, tracecol = NA
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56 )
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57
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58 write.table(
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59 data.frame(gene = rownames(mat)[out$rowInd]),
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60 paste(opt$out, "rows.csv", sep="."),
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61 row.names = FALSE,
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62 quote = FALSE,
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63 sep = ',')
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64
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65 write.table(
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66 data.frame(gene = colnames(mat)[out$colInd]),
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67 paste(opt$out, "cols.csv", sep="."),
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68 row.names = FALSE,
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69 quote = FALSE,
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70 sep = ',')
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72 dev.off()
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