Mercurial > repos > iuc > scater_create_qcmetric_ready_sce
diff scater-plot-exprs-freq.R @ 0:2d455a7e8a3d draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/scater commit 5fdcafccb6c645d301db040dfeed693d7b6b4278
author | iuc |
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date | Thu, 18 Jul 2019 11:14:06 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scater-plot-exprs-freq.R Thu Jul 18 11:14:06 2019 -0400 @@ -0,0 +1,45 @@ +#!/usr/bin/env Rscript + +#Plots mean expression vs % of expressing cells and provides information as to the number of genes expressed in 50% and 25% of cells. +# 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("-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$input_loom, format='loom', type='SingleCellLoomExperiment') + +#produce and save the scatter plot of reads vs genes +plot <- plotExprsFreqVsMean(scle, controls = "is_feature_control_MT") +ggsave(opt$output_plot_file, plot, device="pdf")