2021-02-21 20:59:39 +01:00
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library(immuneSIM)
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2021-02-26 02:19:40 +01:00
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library(Biostrings)
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2021-02-21 20:59:39 +01:00
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2021-02-25 20:00:35 +01:00
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generate_repertoires <- function(number_of_sequences) {
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a_chain <- immuneSIM(
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number_of_seqs = number_of_sequences,
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species = "hs",
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receptor = "tr",
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chain = "a",
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verbose = TRUE
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)
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b_chain <- immuneSIM(
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number_of_seqs = number_of_sequences,
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species = "hs",
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receptor = "tr",
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chain = "b",
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verbose = TRUE
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)
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return(list("a_chain" = a_chain, "b_chain" = b_chain))
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}
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2021-02-21 20:59:39 +01:00
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2021-02-26 02:19:40 +01:00
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process_chain <- function(repertoire) {
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sequences <- as.character(repertoire$sequence)
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counts <- as.integer(repertoire$counts)
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reads <- Biostrings::DNAStringSet(rep(sequences, counts))
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names(reads) <- seq_len(length(reads))
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reverse_complement <- Biostrings::reverseComplement(reads)
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return(reverse_complement)
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}
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preprocess_data <- function(repertoires) {
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filtered_repertoires <- lapply(repertoires, process_chain)
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names(filtered_repertoires) <- names(repertoires)
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return(filtered_repertoires)
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}
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2021-02-26 02:20:11 +01:00
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save_data <- function(repertoires) {
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for (chain in names(repertoires)) {
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file_name <- paste("data/", chain, ".fastq", sep = "")
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Biostrings::writeXStringSet(repertoires[[chain]], file_name, format = "fastq")
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}
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}
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2021-02-21 20:59:39 +01:00
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2021-02-25 20:02:11 +01:00
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parse_cli_arguments <- function(args) {
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if (length(args) != 1) {
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stop("usage: repertoire.r <number of sequences>")
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}
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return(as.integer(args[1]))
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}
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args <- commandArgs(trailingOnly = TRUE)
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number_of_sequences <- parse_cli_arguments(args)
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sim_repertoire <- generate_repertoires(number_of_sequences)
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2021-02-26 02:19:40 +01:00
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processed_data <- preprocess_data(sim_repertoire)
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2021-02-26 02:20:11 +01:00
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save_data(processed_data)
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