Get V and J sequences from sequence ID
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@ -1,36 +1,39 @@
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library(Biostrings)
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library(Biostrings)
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library(parallel)
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library(parallel)
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parse_data <- function(files) {
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parse_data <- function(file) {
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reversed_sequences <- Biostrings::readQualityScaledDNAStringSet(files[1])
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reversed_sequences <- Biostrings::readQualityScaledDNAStringSet(file)
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sequences <- Biostrings::reverseComplement(reversed_sequences)
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sequences <- Biostrings::reverseComplement(reversed_sequences)
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vdj_metadata <- read.csv(files[2])
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vj_segments <- union(
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vj_segments <- union(
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readRDS("data/v_segments.rds"),
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readRDS("data/v_segments.rds"),
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readRDS("data/j_segments_phe.rds")
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readRDS("data/j_segments_phe.rds")
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)
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)
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return(list(sequences, vj_segments, vdj_metadata))
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return(list(sequences, vj_segments))
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}
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}
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get_vj_sequence <- function(identifier, names, sequences) {
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match_id_sequence <- function(names, sequences, id) {
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matches <- grep(names, pattern = identifier)
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matches <- grep(names, pattern = id)
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row <- matches[1]
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row <- matches[1]
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return(as.character(sequences[row]))
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return(as.character(sequences[row]))
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}
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}
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construct_full_sequences <- function(vdj_segments, metadata) {
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get_vj_sequence <- function(sequences, names, vdj_segments) {
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v_sequences <- lapply(metadata$v_call,
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metadata <- unlist(strsplit(sequences, split = " "))
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v_identifier <- metadata[2]
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j_identifier <- metadata[3]
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v_sequence <- match_id_sequence(names, vdj_segments, id = v_identifier)
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j_sequence <- match_id_sequence(names, vdj_segments, id = j_identifier)
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return(c(v_sequence, j_sequence))
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}
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fetch_vj_sequences <- function(vdj_segments, sequences) {
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vj_sequences <- mclapply(names(sequences),
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names(vdj_segments),
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names(vdj_segments),
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vdj_segments,
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vdj_segments,
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FUN = get_vj_sequence
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FUN = get_vj_sequence,
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mc.cores = detectCores()
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)
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)
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j_sequences <- lapply(metadata$j_call,
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return(c(vj_sequences[1], vj_sequences[2]))
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names(vdj_segments),
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vdj_segments,
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FUN = get_vj_sequence
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)
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full_sequence <- paste(v_sequences, metadata$junction, j_sequences, sep = "")
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return(Biostrings::DNAStringSet(full_sequence))
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}
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}
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align_sequence <- function(sequence, vdj_segment) {
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align_sequence <- function(sequence, vdj_segment) {
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@ -38,25 +41,24 @@ align_sequence <- function(sequence, vdj_segment) {
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subject = sequence,
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subject = sequence,
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pattern = vdj_segment,
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pattern = vdj_segment,
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type = "global-local",
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type = "global-local",
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gapOpening = 1,
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gapOpening = 1
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))
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))
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}
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}
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perform_alignment <- function(sequences, vdj_segments, metadata) {
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get_hvr_sequences <- function(sequences, vdj_segments) {
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vj_sequences <- construct_full_sequences(vdj_segments, metadata)
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vj_sequences <- fetch_vj_sequences(vdj_segments, sequences)
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sequence_alignment <- mcmapply(vj_sequences,
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v_alignment <- parallel::mcmapply(sequences,
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vdj_segments,
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vj_sequences[1],
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FUN = align_sequence,
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FUN = align_sequence
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mc.cores = detectCores()
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)
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j_alignment <- parallel::mcmapply(sequences,
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vj_sequences[2],
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FUN = align_sequence
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)
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)
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return(sequence_alignment)
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}
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}
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input_files <- c("data/curesim_sequence.fastq", "data/vdj_metadata.csv")
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data <- parse_data(file = "data/curesim_sequence.fastq")
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data <- parse_data(files = input_files)
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hvr_sequences <- get_hvr_sequences(
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alignment <- perform_alignment(
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sequences = data[[1]],
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sequences = data[[1]],
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vdj_segments = data[[2]],
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vdj_segments = data[[2]]
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metadata = data[[3]]
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)
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)
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print(alignment)
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