sourcing plotting_data for subcols_axis_PS
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4 changed files with 110 additions and 90 deletions
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@ -4,6 +4,7 @@
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# basic barplots with count of mutations
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# basic barplots with frequency of count of mutations
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#########################################################
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#=======================================================================
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# working dir and loading libraries
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getwd()
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setwd("~/git/LSHTM_analysis/scripts/plotting")
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@ -14,18 +15,30 @@ library(ggplot2)
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library(data.table)
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library(dplyr)
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source("plotting_data.R")
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# should return
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#my_df
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#my_df_u
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#dup_muts
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#========================================================
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# should return the following dfs, directories and variables
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# my_df
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# my_df_u
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# my_df_u_lig
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# dup_muts
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cat(paste0("Directories imported:"
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, "\ndatadir:", datadir
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, "\nindir:", indir
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, "\noutdir:", outdir
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, "\nplotdir:", plotdir))
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cat(paste0("Variables imported:"
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, "\ndrug:", drug
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, "\ngene:", gene
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, "\ngene_match:", gene_match
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, "\nLength of upos:", length(upos))
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, "\nAngstrom symbol:", angstroms_symbol))
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# clear excess variable
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rm(my_df, upos, dup_muts, my_df_u_lig)
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#=======================================================================
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#=======
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# output
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#=======
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@ -37,17 +50,16 @@ plot_basic_bp_duet = paste0(plotdir,"/", basic_bp_duet)
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pos_count_duet = "position_count_PS.svg"
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plot_pos_count_duet = paste0(plotdir, "/", pos_count_duet)
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#%%===============================================================
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#=======================================================================
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#================
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# Data for plots
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#================
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# REASSIGNMENT as necessary
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df = my_df_u
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rm(my_df, upos, dup_muts)
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# sanity checks
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str(df)
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#%%=======================================================================
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#=======================================================================
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#****************
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# Plot 1:Count of stabilising and destabilsing muts
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#****************
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@ -89,7 +101,9 @@ outPlot = g + geom_bar(aes(fill = duet_outcome)
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print(outPlot)
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dev.off()
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#%%=======================================================================
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table(df$duet_outcome)
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#=======================================================================
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#****************
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# Plot 2: frequency of positions
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#****************
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@ -173,6 +187,6 @@ outPlot_pos = g + geom_bar(aes (alpha = 0.5)
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print(outPlot_pos)
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dev.off()
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########################################################################
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# end of DUET barplots
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# end of Ligand barplots
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########################################################################
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