Mercurial > repos > iuc > scater_plot_tsne
diff scater-plot-pca.R @ 0:a30f4bfe8f01 draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/scater commit 61f3899168453092fd25691cf31871a3a350fd3b"
author | iuc |
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date | Tue, 03 Sep 2019 14:30:21 -0400 |
parents | |
children | 2b09ca1c5e41 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scater-plot-pca.R Tue Sep 03 14:30:21 2019 -0400 @@ -0,0 +1,68 @@ +#!/usr/bin/env Rscript + +# Creates a PCA plot of a normalised SingleCellExperiment object. + +# Load optparse we need to check inputs + +library(optparse) +library(workflowscriptscommon) +library(LoomExperiment) +library(scater) + +# parse options + +option_list = list( + make_option( + c("-i", "--input-loom"), + action = "store", + default = NA, + type = 'character', + help = "A SingleCellExperiment object file in Loom format." + ), + make_option( + c("-c", "--colour-by"), + action = "store", + default = NULL, + type = 'character', + help = "Feature (from annotation file) to colour PCA plot points by. The values represented in this options should be categorical" + ), + make_option( + c("-s", "--size-by"), + action = "store", + default = NULL, + type = 'character', + help = "Feature (from annotation file) to size PCA plot points by. The values represented in this options should be numerical and not categorical" + ), + make_option( + c("-p", "--shape-by"), + action = "store", + default = NULL, + type = 'character', + help = "Feature (from annotation file) to shape PCA plot points by. The values represented in this options should be categorical" + ), + make_option( + c("-o", "--output-plot-file"), + action = "store", + default = NA, + type = 'character', + help = "Path of the PDF output file to save plot to." + ) +) + +opt <- wsc_parse_args(option_list, mandatory = c('input_loom', 'output_plot_file')) +# Check parameter values + +if ( ! file.exists(opt$input_loom)){ + stop((paste('File', opt$input_loom, 'does not exist'))) +} + + +# Input from Loom format + +scle <- import(opt$input_loom, format='loom', type='SingleCellLoomExperiment') +scle <- normalize(scle, exprs_values = 1) +scle <- runPCA(scle) +plot <- plotReducedDim(scle, "PCA", colour_by = opt$colour_by, size_by = opt$size_by, shape_by = opt$shape_by) +#do the scatter plot of reads vs genes + +ggsave(opt$output_plot_file, plot, device="pdf")