annotate scripts/dropletutils.Rscript @ 0:1335bf5bcd0e draft

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/dropletutils/ commit e66ab3d4fc0c1a72523e8f93447cc07cdd6816b7
author iuc
date Tue, 04 Jun 2019 17:19:16 -0400
parents
children 94ee8160ace3
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1335bf5bcd0e planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/dropletutils/ commit e66ab3d4fc0c1a72523e8f93447cc07cdd6816b7
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1 ## Load in data
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2 args = commandArgs(trailingOnly = T)
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3 if (length(args) != 1){
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4 stop("Please provide the config file")
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5 }
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7 suppressWarnings(suppressPackageStartupMessages(require(DropletUtils)))
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8 suppressWarnings(suppressPackageStartupMessages(require(Matrix)))
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10 source(args[1])
1335bf5bcd0e planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/dropletutils/ commit e66ab3d4fc0c1a72523e8f93447cc07cdd6816b7
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12 ## Helper functions
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13 setSparse <- function(obj){
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14 return(as(obj, "dgCMatrix"))
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15 }
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17 writeTSV <- function(fileout, obj){
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18 write.table(as.matrix(obj), file=fileout, col.names=NA, sep='\t', quote=FALSE)
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19 }
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21 writeOut <- function(counts, fileout, typeout){
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22 if (typeout == "tsv"){
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23 writeTSV(fileout, counts)
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24 }
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25 else if (typeout == "h5ad"){
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26 write10xCounts(fileout, counts, type="HDF5", overwrite=TRUE)
1335bf5bcd0e planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/dropletutils/ commit e66ab3d4fc0c1a72523e8f93447cc07cdd6816b7
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27 }
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28 else if (typeout == "directory"){
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29 write10xCounts(fileout, counts, type="sparse", overwrite=TRUE)
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30 }
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31 }
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32
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34 read10xFiles <- function(filein, typein){
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35 sce <- NULL
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36 if (typein == "tsv"){
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37 dat <- read.table(filein, header = TRUE, sep='\t', stringsAsFactors=FALSE, quote="", row.names=1)
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38 sce <- SingleCellExperiment(assays = list(counts = as.matrix(dat)))
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39 }
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40 else if (typein == "h5ad"){
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41 sce <- read10xCounts(filein, col.names=T, type="HDF5") # use barcodes.tsv as column names
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42 }
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43 else if (typein == "directory"){
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44 sce <- read10xCounts(filein, col.names=T, type="sparse")
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45 }
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46 counts(sce) <- setSparse(counts(sce))
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47 return(sce)
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48 }
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49
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50
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51 ## Methods
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52
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53
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54 doEmptyDrops <- function(files, eparams, in.type="directory", out.type="h5ad", fdr_threshold = 0.01){
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55 sce <- read10xFiles(files$infile, in.type)
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56
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57 eparams$... <- NULL ## hack
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58 eparams$m = Matrix(counts(sce), sparse=TRUE)
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59
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60 e.out <- do.call(emptyDrops, c(eparams))
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61
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62 bar.names <- colnames(sce)
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63 if (length(bar.names) != nrow(e.out)){
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64 stop("Length of barcodes and output metrics don't match.")
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65 }
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66 e.out <- cbind(bar.names, e.out)
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67 e.out$is.Cell <- e.out$FDR <= fdr_threshold
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68 e.out$is.CellAndLimited <- e.out$is.Cell & e.out$Limited
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69
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70 # Write to table
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71 writeTSV(files$table, e.out)
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72
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73 # Print to log
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74 print(table(Limited=e.out$Limited, Significant=e.out$is.Cell))
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75
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76 # Write to Plot
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77 png(files$plot)
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78 plot(e.out$Total, -e.out$LogProb, col=ifelse(e.out$is.Cell, "red", "black"),
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79 xlab="Total UMI count", ylab="-Log Probability")
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80 dev.off()
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81
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82 # Filtered
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83 called <- e.out$is.CellAndLimited
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84 called[is.na(called)] <- FALSE # replace NA's with FALSE
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85 sce.filtered <- sce[,called]
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86
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87 writeOut(counts(sce.filtered), files$out, out.type)
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88 }
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89
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90
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91 doDefaultDrops <- function(files, dparams, in.type="directory", out.type="h5ad"){
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92 sce <- read10xFiles(files$infile, in.type)
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93
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94 dparams$m = as.matrix(counts(sce))
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95 called <- do.call(defaultDrops, c(dparams))
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96 print(table(called))
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97
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98 # Filtered
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99 sce.filtered <- sce[,called]
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100
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101 writeOut(Matrix(counts(sce.filtered),sparse=TRUE), files$out, out.type)
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102 }
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103
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104
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105 doBarcodeRankings <- function(files, bparams, in.type="directory"){
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106 sce <- read10xFiles(files$infile, in.type)
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107
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108 bparams$... <- NULL ## hack
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109 bparams$m = as.matrix(counts(sce))
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110
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111 br.out <- do.call(barcodeRanks, c(bparams))
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112
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113 png(files$plot)
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114 plot(br.out$rank, br.out$total, log="xy", xlab="(log) Rank", ylab="(log) Total Number of Barcodes")
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115 o <- order(br.out$rank)
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116 lines(br.out$rank[o], br.out$fitted[o], col="red")
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117
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118 abline(h=br.out$knee, col="dodgerblue", lty=2)
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119 abline(h=br.out$inflection, col="forestgreen", lty=2)
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120 legend("bottomleft", lty=2, col=c("dodgerblue", "forestgreen"), legend=c("knee", "inflection"))
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121 dev.off()
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122
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123 print(paste("knee =", br.out$knee, ", inflection = ", br.out$inflection))
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124 }
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125
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126 ## Main
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127 set.seed(seed.val)
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128
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129 if (do.method == "barcodeRankings") {
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130 doBarcodeRankings(files, bparams, in.type)
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131
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132 } else if (do.method == "defaultDrops") {
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133 doDefaultDrops(files, dparams, in.type, out.type)
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134
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135 } else if (do.method == "emptyDrops") {
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136 doEmptyDrops(files, eparams, in.type, out.type, empty.fdr_threshold)
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137 }