config: add tile stuff for all targets. Other functions: many rewrites!
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11 changed files with 163 additions and 200 deletions
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@ -60,17 +60,9 @@ bp_stability_hmap <- function(plot_df = merged_df3
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)
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{
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################################################
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# Custom 2: x-axis geom tiles ~ lig distance
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################################################
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#=========================
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# Build data with colours
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# ~ ligand distance
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#=========================
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# plot_df = generate_distance_colour_map(plot_df, debug=TRUE)
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# order the df by position and ensure it is a factor
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# order the df by position and ensure it is a factor
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plot_df = plot_df[order(plot_df[[xvar_colname]]), ]
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plot_df[[xvar_colname]] = factor(plot_df[[xvar_colname]])
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@ -79,26 +71,30 @@ bp_stability_hmap <- function(plot_df = merged_df3
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# stability values isolated to help with generating column called: 'group'
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my_grp = plot_df[[stability_colname]]
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cat( "\nLength of nsSNPs:", length(my_grp)
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, "\nLength of unique values for nsSNPs:", length(unique(my_grp)) )
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# cat( "\nLength of nsSNPs:", length(my_grp)
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# , "\nLength of unique values for nsSNPs:", length(unique(my_grp)) )
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#
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# Add col: 'group'
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plot_df$group = paste0(plot_df[[stability_outcome_colname]], "_", my_grp, sep = "")
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# check unique values in normalised data
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cat("\nNo. of unique values in", stability_colname, "no rounding:"
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, length(unique(plot_df[[stability_colname]])))
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# cat("\nNo. of unique values in", stability_colname, "no rounding:"
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# , length(unique(plot_df[[stability_colname]])))
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# Call the function to create the palette based on the group defined above
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#subcols_ps
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subcols_bp_hmap = ColourPalleteMulti(plot_df, stability_outcome_colname, stability_colname)
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cat("\nNo. of sub colours generated:", length(subcols_bp_hmap))
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anno_bar=position_annotation(plot_df,
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aa_pos_drug=aa_pos_drug,
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active_aa_pos=active_aa_pos,
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aa_pos_lig1=aa_pos_lig1,
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aa_pos_lig2=aa_pos_lig2,
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aa_pos_lig3=aa_pos_lig3
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)
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#-------------------------------
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# Generate the subcols barplot
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#-------------------------------
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cowplot::plot_grid(
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ggplot(plot_df, aes_string(x = xvar_colname
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# , ordered = T)
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@ -111,7 +107,8 @@ bp_stability_hmap <- function(plot_df = merged_df3
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# scale_x_discrete("Position", labels=factor(plot_df$position)) +
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theme(
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axis.text.x = element_text(size = my_xaxls
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panel.grid = element_line(color="lightgrey", size=0.125)
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, axis.text.x = element_text(size = my_xaxls
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, angle = 90
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, hjust = 1
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, vjust = 0.4)
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@ -128,25 +125,17 @@ bp_stability_hmap <- function(plot_df = merged_df3
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# , panel.grid = element_blank()
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, panel.background = element_rect(fill = "transparent", colour=NA)
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) +
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labs(title = p_title
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, x = my_xlab
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, y = my_ylab),
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NULL,
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position_annotation(plot_df,
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aa_pos_drug=aa_pos_drug,
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active_aa_pos=active_aa_pos,
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aa_pos_lig1=aa_pos_lig1,
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aa_pos_lig2=aa_pos_lig2,
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aa_pos_lig3=aa_pos_lig3
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)
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,
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anno_bar,
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#generate_distance_legend(plot_df),
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ncol = 1,
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align = "v",
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rel_heights = c(10,-0.1,1)
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rel_heights = c(6,-0.1,1)
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#rel_widths = c(9/10, 0.4/10)
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)
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}
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#bp_stability_hmap(merged_df3)
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# bp_stability_hmap(small_df3)
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