SNP -> SAV for thesis plots
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31 changed files with 145 additions and 145 deletions
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@ -68,7 +68,7 @@ mLigP = stability_count_bp(plotdf = df3_lig
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, df_colname = "ligand_outcome"
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#, leg_title = "mCSM-lig"
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#, bp_plot_title = paste(common_bp_title, "ligand")
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, yaxis_title = "Number of nsSNPs"
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, yaxis_title = "Number of SAVs"
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, leg_position = "none"
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, subtitle_text = "mCSM\nLig"
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, bar_fill_values = c("#F8766D", "#00BFC4")
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@ -116,7 +116,7 @@ if (tolower(gene)%in%geneL_ppi2){
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#, label_categories = labels_ppi2
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#, bp_plot_title = paste(common_bp_title, "PP-interface")
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, yaxis_title = "Number of nsSNPs"
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, yaxis_title = "Number of SAVs"
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, leg_position = "none"
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, subtitle_text = "mCSM\nPPI2"
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, bar_fill_values = c("#F8766D", "#00BFC4")
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@ -141,7 +141,7 @@ if (tolower(gene)%in%geneL_na){
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#, label_categories =
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#, bp_plot_title = paste(common_bp_title, "Dist to NA")
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, yaxis_title = "Number of nsSNPs"
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, yaxis_title = "Number of SAVs"
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, leg_position = "none"
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, subtitle_text = "mCSM\nNA"
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, bar_fill_values = c("#F8766D", "#00BFC4")
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@ -165,7 +165,7 @@ common_bp_title = paste0("Sites <", DistCutOff, angstroms_symbol)
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posC_lig = site_snp_count_bp(plotdf = df3_lig
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, df_colname = "position"
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, xaxis_title = "Number of nsSNPs"
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, xaxis_title = "Number of SAVs"
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, yaxis_title = "Number of Sites"
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, subtitle_colour = "chocolate4"
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, subtitle_text = ""
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@ -183,7 +183,7 @@ posC_lig
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if (tolower(gene)%in%geneL_ppi2){
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posC_ppi2 = site_snp_count_bp(plotdf = df3_ppi2
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, df_colname = "position"
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, xaxis_title = "Number of nsSNPs"
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, xaxis_title = "Number of SAVs"
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, yaxis_title = "Number of Sites"
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, subtitle_colour = "chocolate4"
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, subtitle_text = ""
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@ -202,7 +202,7 @@ if (tolower(gene)%in%geneL_ppi2){
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if (tolower(gene)%in%geneL_na){
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posC_nca = site_snp_count_bp(plotdf = df3_na
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, df_colname = "position"
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, xaxis_title = "Number of nsSNPs"
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, xaxis_title = "Number of SAVs"
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, yaxis_title = "Number of Sites"
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, subtitle_colour = "chocolate4"
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, subtitle_text = ""
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@ -220,7 +220,7 @@ if (tolower(gene)%in%geneL_na){
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#------------------------------
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posC_all = site_snp_count_bp(plotdf = df3
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, df_colname = "position"
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, xaxis_title = "Number of nsSNPs"
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, xaxis_title = "Number of SAVs"
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, yaxis_title = "Number of Sites"
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, subtitle_colour = "chocolate4"
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, subtitle_text = "All mutations sites"
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@ -238,7 +238,7 @@ consurfP = stability_count_bp(plotdf = df3
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, df_colname = "consurf_outcome"
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#, leg_title = "ConSurf"
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#, label_categories = labels_consurf
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, yaxis_title = "Number of nsSNPs"
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, yaxis_title = "Number of SAVs"
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, leg_position = "top"
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, subtitle_text = "ConSurf"
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, bar_fill_values = consurf_colours_no_isd # from globals
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@ -267,7 +267,7 @@ duetP = stability_count_bp(plotdf = df3
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, df_colname = "duet_outcome"
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, leg_title = "mCSM-DUET"
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#, label_categories = labels_duet
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, yaxis_title = "Number of nsSNPs"
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, yaxis_title = "Number of SAVs"
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, leg_position = "none"
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, subtitle_text = "mCSM-DUET"
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, bar_fill_values = c("#F8766D", "#00BFC4")
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@ -336,7 +336,7 @@ proveanP = stability_count_bp(plotdf = df3
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, df_colname = "provean_outcome"
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#, leg_title = "PROVEAN"
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#, label_categories = labels_provean
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, yaxis_title = "Number of nsSNPs"
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, yaxis_title = "Number of SAVs"
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, leg_position = "none" # top
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, subtitle_text = "PROVEAN"
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, bar_fill_values = c("#D01C8B", "#F1B6DA") # light pink and deep
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@ -41,7 +41,7 @@ my_yals = 8 # y axis label size
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my_lls = 8 # legend label size
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d_lab_size = 2.3
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#===============================
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# lineage sample and SNP count
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# lineage sample and SAV count
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#===============================
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lin_countP = lin_count_bp(lf_data = lineage_dfL[['lin_lf']]
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, all_lineages = F
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@ -58,7 +58,7 @@ lin_countP = lin_count_bp(lf_data = lineage_dfL[['lin_lf']]
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, my_xals = my_xals # x axis label size
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, my_yals = my_yals # y axis label size
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, my_lls = my_lls # legend label size
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, bar_col_labels = c("nsSNPs", "Total Samples")
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, bar_col_labels = c("SAVs", "Total Samples")
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, bar_col_values = c("grey50", "gray75")
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, bar_leg_name = ""
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, leg_location = "top"
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@ -68,7 +68,7 @@ lin_countP = lin_count_bp(lf_data = lineage_dfL[['lin_lf']]
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)
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lin_countP
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#===============================
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# lineage SNP diversity count
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# lineage SAV diversity count
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#===============================
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lin_diversityP = lin_count_bp_diversity(lf_data = lineage_dfL[['lin_wf']]
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, x_categ = "sel_lineages"
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@ -87,8 +87,8 @@ lin_diversityP = lin_count_bp_diversity(lf_data = lineage_dfL[['lin_wf']]
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, y_log10 = F
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, y_scale_percent = F
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, leg_location = "top"
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, y_label = "Percent" #"SNP diversity"
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, bp_plot_title = "nsSNP diversity"
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, y_label = "Percent" #"SAV diversity"
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, bp_plot_title = "SAV diversity"
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, title_colour = "black" #"chocolate4"
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, subtitle_text = NULL
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, sts = 10
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