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3 Commits

Author SHA1 Message Date
edc4a72425
Update gitignore 2021-02-28 02:24:23 +01:00
42aadb1e28
Add sequencing runs CLI argument 2021-02-28 02:23:58 +01:00
ae5014fd74
Remove a_chain generation 2021-02-28 02:23:28 +01:00
4 changed files with 24 additions and 37 deletions

1
.gitignore vendored
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@ -1 +1,2 @@
*.txt
*.fastq

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@ -1,21 +1,19 @@
#!/bin/sh
usage() {
echo "usage: generation.sh <number of sequences>"
echo "usage: generation.sh <number of sequences> <sequencing runs>"
exit 1
}
if [ $# != 1 ]; then
if [ $# != 2 ]; then
usage
fi
sequences=$1
sequencing_runs=$2
data_directory="data/"
file="sequence.fastq"
prefix="curesim_"
Rscript src/repertoire.r "$sequences"
for file in "$data_directory"*.fastq; do
file_name=$(echo "$file" | cut -d / -f 2)
java -jar tools/CuReSim.jar -f "$file" -o "$data_directory$prefix$file_name"
done
Rscript src/repertoire.r "$sequences" "$sequencing_runs"
java -jar tools/CuReSim.jar -f "$data_directory$file" -o "$data_directory$prefix$file"

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@ -8,7 +8,7 @@ mkShell {
rPackages.immuneSIM
rPackages.Biostrings
jdk
# Develoment tools
# Development tools
rPackages.languageserver
rPackages.lintr
];

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@ -2,13 +2,6 @@ library(immuneSIM)
library(Biostrings)
generate_repertoires <- function(number_of_sequences) {
a_chain <- immuneSIM(
number_of_seqs = number_of_sequences,
species = "hs",
receptor = "tr",
chain = "a",
verbose = TRUE
)
b_chain <- immuneSIM(
number_of_seqs = number_of_sequences,
species = "hs",
@ -16,40 +9,35 @@ generate_repertoires <- function(number_of_sequences) {
chain = "b",
verbose = TRUE
)
return(list("a_chain" = a_chain, "b_chain" = b_chain))
return(b_chain)
}
process_chain <- function(repertoire) {
# TODO save also v_call and j_call
preprocess_data <- function(repertoire, sequencing_runs) {
sequences <- as.character(repertoire$sequence)
counts <- as.integer(repertoire$counts)
reads <- Biostrings::DNAStringSet(rep(sequences, counts))
reads <- Biostrings::DNAStringSet(rep(sequences, sequencing_runs))
names(reads) <- seq_len(length(reads))
reverse_complement <- Biostrings::reverseComplement(reads)
return(reverse_complement)
}
preprocess_data <- function(repertoires) {
filtered_repertoires <- lapply(repertoires, process_chain)
names(filtered_repertoires) <- names(repertoires)
return(filtered_repertoires)
}
save_data <- function(repertoires) {
for (chain in names(repertoires)) {
file_name <- paste("data/", chain, ".fastq", sep = "")
Biostrings::writeXStringSet(repertoires[[chain]], file_name, format = "fastq")
}
save_data <- function(repertoire) {
file_name <- "data/sequence.fastq"
# TODO Change format to fasta
Biostrings::writeXStringSet(repertoire, file_name, format = "fastq")
}
parse_cli_arguments <- function(args) {
if (length(args) != 1) {
stop("usage: repertoire.r <number of sequences>")
if (length(args) != 2) {
stop("usage: repertoire.r <number of sequences> <sequencing_runs>")
}
return(as.integer(args[1]))
return(c(args[1], args[2]))
}
args <- commandArgs(trailingOnly = TRUE)
number_of_sequences <- parse_cli_arguments(args)
sim_repertoire <- generate_repertoires(number_of_sequences)
processed_data <- preprocess_data(sim_repertoire)
parameters <- parse_cli_arguments(args)
number_of_sequences <- as.integer(parameters[1])
sequencing_runs <- as.integer(parameters[2])
repertoire <- generate_repertoires(number_of_sequences)
processed_data <- preprocess_data(repertoire, sequencing_runs)
save_data(processed_data)