added katg tables
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d5da923a74
commit
6441be21ab
8 changed files with 31 additions and 200 deletions
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@ -15,7 +15,6 @@ geneL_na_v2 = c("gid")
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geneL_ppi2 = c("alr", "embb", "katg", "rpob")
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geneL_both = c("rpob")
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if (tolower(gene)%in%geneL_na_v2) {
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gene_colnames = c("mcsm_na_affinity", "mcsm_na_outcome")
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}
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@ -200,6 +199,7 @@ colsNames_to_output_nca = c("position"
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#, paste0("NA-Dist (", angstroms_symbol, ")")
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#, paste0("mCSM-NA (", delta_symbol,delta_symbol,"G)")
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#, "mCSM-NA outcome"
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, paste0("PPI-Dist (", angstroms_symbol, ")")
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, paste0("mCSM-PPI (", delta_symbol,delta_symbol,"G)")
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, "mCSM-PPI outcome"
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@ -226,7 +226,7 @@ table(Out_df_ncaS$plp_site)
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#----------------------
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Out_ncaT = paste0(outdir_stats
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, tolower(gene)
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, "_na_muts.csv")
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, "_ppi2_muts.csv")
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cat("Output of NA muts:", Out_ncaT )
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write.csv(Out_df_ncaS, Out_ncaT, row.names = FALSE)
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@ -32,6 +32,7 @@ table(genomics_dataP$param_type)
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genomicsP = lf_bp2(genomics_dataP
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#, p_title = ""
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, dot_transparency = 0.1 #0.3 default
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, violin_quantiles = c(0.5), monochrome = F)
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genomicsP
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@ -349,7 +349,7 @@ if (tolower(gene)%in%geneL_ppi2 ){
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# add cols
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mut_h_ppi2_dd$mutational_effect = "Most Destabilising for PPI affinity"
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mut_h_ppi2_dd$mutational_effect = "Most Stabilising for PPI affinity"
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mut_h_ppi2_ss$mutational_effect = "Most Stabilising for PPI affinity"
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if (identical(colnames(mut_h_ppi2_dd), colnames(mut_h_ppi2_ss)) ){
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cat("\nPass 1: ppi2")
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@ -1,176 +0,0 @@
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# source dm_om_plots.R
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source("/home/tanu/git/LSHTM_analysis/scripts/plotting/plotting_thesis/dm_om_plots.R")
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##### plots to combine ####
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duetP
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foldxP
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deepddgP
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dynamut2P
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genomicsP
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consurfP
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proveanP
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snap2P
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mcsmligP
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mcsmlig2P
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mcsmppi2P
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# Plot labels
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tit1 = "Stability changes"
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tit2 = "Genomic measure"
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tit3 = "Distance to partners"
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tit4 = "Evolutionary Conservation"
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tit5 = "Affinity changes"
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pt_size = 30
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theme_georgia <- function(...) {
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theme_gray(base_family = "sans", ...) +
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theme(plot.title = element_text(face = "bold"))
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}
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title_theme <- calc_element("plot.title", theme_georgia())
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pt1 = ggdraw() +
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draw_label(
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tit1,
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fontfamily = title_theme$family,
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fontface = title_theme$face,
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#size = title_theme$size
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size = pt_size
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)
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pt2 = ggdraw() +
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draw_label(
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tit2,
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fontfamily = title_theme$family,
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fontface = title_theme$face,
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size = pt_size
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)
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pt3 = ggdraw() +
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draw_label(
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tit3,
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fontfamily = title_theme$family,
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fontface = title_theme$face,
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size = pt_size
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)
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pt4 = ggdraw() +
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draw_label(
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tit4,
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fontfamily = title_theme$family,
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fontface = title_theme$face,
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size = pt_size
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)
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pt5 = ggdraw() +
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draw_label(
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tit5,
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fontfamily = title_theme$family,
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fontface = title_theme$face,
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size = pt_size
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)
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#======================
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# Output plot function
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#======================
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OutPlot_dm_om = function(x){
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# dist b/w plot title and plot
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relH_tp = c(0.08, 0.92)
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my_label_size = 25
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#----------------
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# Top panel
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#----------------
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top_panel = cowplot::plot_grid(
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cowplot::plot_grid(pt1,
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cowplot::plot_grid(duetP, foldxP, deepddgP, dynamut2P
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, nrow = 1
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, labels = c("A", "B", "C", "D")
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, label_size = my_label_size)
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, ncol = 1
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, rel_heights = relH_tp
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),
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NULL,
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cowplot::plot_grid(pt2,
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cowplot::plot_grid(genomicsP
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, nrow = 1
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, labels = c("E")
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, label_size = my_label_size)
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, ncol = 1
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, rel_heights = relH_tp
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),
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NULL,
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cowplot::plot_grid(pt3,
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cowplot::plot_grid( #distanceP
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distanceP_lig
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, distanceP_ppi2
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, nrow = 1
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, labels = c("F", "G")
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, label_size = my_label_size)
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, ncol = 1
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, rel_heights = relH_tp
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),
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nrow = 1,
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rel_widths = c(2/7, 0.1/7, 0.5/7, 0.1/7, 1/7)
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)
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#----------------
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# Bottom panel
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#----------------
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bottom_panel = cowplot::plot_grid(
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cowplot::plot_grid(pt4,
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cowplot::plot_grid(consurfP, proveanP, snap2P
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, nrow = 1
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, labels = c("H", "I", "J")
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, label_size = my_label_size)
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, ncol = 1
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, rel_heights =relH_tp
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),NULL,
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cowplot::plot_grid(pt5,
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cowplot::plot_grid(mcsmligP
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, mcsmlig2P
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, mcsmppi2P
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, nrow = 1
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, labels = c("K", "L", "M")
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, label_size = my_label_size)
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, ncol = 1
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, rel_heights = relH_tp
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),NULL,
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nrow = 1,
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rel_widths = c(3/6,0.1/6,3/6, 0.1/6 )
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)
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#-------------------------------
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# combine: Top and Bottom panel
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#-------------------------------
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cowplot::plot_grid (top_panel, bottom_panel
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, nrow =2
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, rel_widths = c(1, 1)
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, align = "hv")
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}
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#=====================
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# OutPlot: svg and png
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#======================
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dm_om_combinedP = paste0(outdir_images
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,tolower(gene)
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,"_dm_om_all.svg")
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cat("DM OM plots with stats:", dm_om_combinedP)
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svg(dm_om_combinedP, width = 32, height = 18)
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OutPlot_dm_om()
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dev.off()
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dm_om_combinedP_png = paste0(outdir_images
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,tolower(gene)
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,"_dm_om_all.png")
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cat("DM OM plots with stats:", dm_om_combinedP_png)
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png(dm_om_combinedP_png, width = 32, height = 18, units = "in", res = 300)
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OutPlot_dm_om()
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dev.off()
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@ -1,4 +1,4 @@
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#source("~/git/LSHTM_analysis/config/embb.R")
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#source("~/git/LSHTM_analysis/config/katg.R")
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#source("~/git/LSHTM_analysis/scripts/plotting/plotting_colnames.R")
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#source("~/git/LSHTM_analysis/scripts/plotting/get_plotting_dfs.R")
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@ -53,7 +53,7 @@ corr_plotdf = corr_data_extract(merged_df3
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aff_dist_cols = colnames(corr_plotdf)[grep("Dist", colnames(corr_plotdf))]
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static_cols = c("Log10(MAF)"
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, "Log10(OR)"
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#, "Log10(OR)"
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)
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############################################################
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#=============================================
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@ -1,5 +1,11 @@
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#!/usr/bin/env Rscript
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source("/home/tanu/git/LSHTM_analysis/scripts/plotting/plotting_thesis/linage_bp_dist.R")
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source("/home/tanu/git/LSHTM_analysis/scripts/plotting/plotting_thesis/lineage_bp_dist.R")
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#=======
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# output
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#=======
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outdir_images = paste0("~/git/Writing/thesis/images/results/", tolower(gene), "/")
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cat("plots will output to:", outdir_images)
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###########################################
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# TASK: generate plots for lineage
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# Individual plots in
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@ -38,19 +44,19 @@ linPlots_combined = paste0(outdir_images
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cat("\nOutput plot:", linPlots_combined)
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png(linPlots_combined, width = 9, height = 6, units = "in" ,res = 300)
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cowplot::plot_grid(
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cowplot::plot_grid(lin_countP, lin_diversityP
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# , nrow = 2
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# , rel_heights = c(1.2,1)
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# , labels = "AUTO"
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# , label_size = my_label_size),
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# NULL,
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# linP_dm_om,
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# nrow = 1,
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# labels = c("", "", "C"),
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# label_size = my_label_size,
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# rel_widths = c(35, 3, 52)
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# )
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# dev.off()
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cowplot::plot_grid(
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cowplot::plot_grid(lin_countP, lin_diversityP,
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nrow = 2,
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rel_heights = c(1.2,1),
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labels = "AUTO",
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label_size = my_label_size),
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NULL,
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linP_dm_om,
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nrow = 1,
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labels = c("", "", "C"),
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label_size = my_label_size,
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rel_widths = c(35, 3, 52)
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)
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dev.off()
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