#source("~/git/LSHTM_analysis/config/gid.R") source("~/git/LSHTM_analysis/config/alr.R") source("~/git/LSHTM_analysis/scripts/plotting/get_plotting_dfs.R") ################################ # Logo plot with custom Y axis # mainly OR # script: logoP.R ################################ LogoPlotCustomH (plot_df = merged_df3 , x_axis_colname = "position" , y_axis_colname = "or_mychisq" , symbol_colname = "mutant_type" , y_axis_log = F , log_value = log10 , y_axis_increment = 5 , rm_empty_y = F , my_logo_col = 'chemistry' , x_lab = "Wild-type position" , y_lab = "Odds Ratio" , x_ats = 12 # text size , x_tangle = 90 # text angle , y_ats = 22 , y_tangle = 0 , x_tts = 19 # title size , y_tts = 22 #, leg_pos = c(0.05,-0.12) , leg_pos = "top" , leg_dir = "horizontal" , leg_ts = 15 # leg text size , leg_tts = 16 # leg title size ) ######################################## # Logo plot showing nsSNPs by positions # wild-type and mutant aa # script: logoP_snp.R ######################################## LogoPlotSnps(plot_df = merged_df3 , x_axis_colname = "position" , symbol_mut_colname = "mutant_type" , symbol_wt_colname = "wild_type" , omit_snp_count = c(0)# can be 1, 2, etc. , my_logo_col = "chemistry" , x_lab = "Wild-type position" , y_lab = "" , x_ats = 13 # text size , x_tangle = 90 # text angle , y_ats = 20 , y_tangle = 0 , x_tts = 18 # title size , y_tts = 18 , leg_pos = "top" # can be top, left, right and bottom or c(0.8, 0.9) , leg_dir = "horizontal" # can be vertical or horizontal , leg_ts = 14 # leg text size , leg_tts = 16 # leg title size ) ######################################## # Logo plot MSA # Mutant and wild-type # wild-type and mutant aa # script: logoP_msa.R ######################################## # msa1 = read.csv("/home/tanu/git/Data/cycloserine/output/alr_msa.csv", header = F) # head(msa1) # msa_seq= msa1$V1 # head(msa_seq) # # msa2 = read.csv("/home/tanu/git/Data/cycloserine/input/alr.1fasta", header = F) # head(msa2) # wt_seq = msa2$V1 # head(wt_seq) # # # BOTH WORK # LogoPlotMSA(msa_seq, wt_seq) # LogoPlotMSA(msa1, msa2)