myFA <- readFASTA("data/RAB39B_HSa_coding.fa") myFA <- rbind(myFA, readFASTA("data/PTPN5_HSa_coding.fa")) myFA <- rbind(myFA, readFASTA("data/PTPN11_HSa_coding.fa")) myFA <- rbind(myFA, readFASTA("data/KRAS_HSa_coding.fa")) rownames(myFA)<-c("RAB39B", "PTPN5", "PTPN11", "KRAS") # Assign row names gen_mutations <- function(seq, N) { stats <- c() stats <- cbind(stats, c(0, 0, 0)) rownames(stats) <- c("silent", "missense", "nonsense") colnames(stats) <- c("occurrences") # Actual function for (i in 1:217) { # select index for mutation working_seq <- Biostrings::DNAString(seq) aa_seq <- Biostrings::translate(working_seq, no.init.codon = TRUE) mut_action <- sample(c("ins", "del", "sub"), 1, TRUE) mut_seq <- Biostrings::DNAString(seq) if (mut_action == "sub") { mut_index <- sample(1:length(working_seq), 1, replace = TRUE) possible_mutations <- Biostrings::DNA_BASES possible_mutations <- possible_mutations[possible_mutations != as.character(unlist(working_seq[mut_index]))] mut_change <- sample(possible_mutations, 1, replace = TRUE) mut_seq <- Biostrings::replaceLetterAt(mut_seq, mut_index, mut_change) } else if (mut_action == "ins") { mut_index <- sample(1:length(working_seq) - 2, 1, replace = TRUE) possible_mutations <- Biostrings::DNA_BASES mut_seq <- Biostrings::DNAString(paste(substring(working_seq, 1, mut_index - 1), sample(possible_mutations, 1), substring(working_seq, mut_index), sep = "")) } else { mut_index <- sample(1:length(working_seq), 1, replace = TRUE) mut_seq <- mut_seq[-mut_index] } mut_seq <- Biostrings::DNAString(substring(mut_seq, 1, length(mut_seq) - (length(mut_seq) %% 3))) mut_aa <- Biostrings::translate(mut_seq, no.init.codon = TRUE) # Note: we need silent, nonsense, and missense mut_aa_stop <- match("*", Biostrings::as.matrix(mut_aa)) aa_seq_stop <- match("*", Biostrings::as.matrix(aa_seq)) if (!is.na(mut_aa_stop) & (is.na(aa_seq_stop) | mut_aa_stop < aa_seq_stop)) { stats["nonsense", "occurrences"] <- 1 + stats["nonsense", "occurrences"] } else if (mut_aa == aa_seq) { stats["silent", "occurrences"] <- 1 + stats["silent", "occurrences"] } else { stats["missense", "occurrences"] <- 1 + stats["missense", "occurrences"] } } return(stats) } N_test <- 1200 gen_mutations("ATGATGATGATGATGATG", N_test) gen_mutations("CCCCCCCCCCCCCCCCCC", N_test) gen_mutations("TATTACTATTACTATTAC", N_test) gen_mutations("TGGTGGTGGTGGTGGTGGTGGTGG", N_test) gen_mutations("TGTTGTTGTTGTTGTTGTTGTTGT", N_test)