src/alignment.r

@@ -1,14 +1,14 @@
 library(Biostrings)
 library(parallel)
 
-construct_hvr_sequence <- function(data) {
+construct_dataframe <- function(data) {
-  vdj_dataframe <- as.data.frame(data)
+  vdj_string_set <- lapply(data, FUN = Biostrings::DNAStringSet)
-  hvr_sequence <- paste(vdj_dataframe$v_sequence,
+  vdj_dataframe <- as.data.frame(vdj_string_set)
+  vdj_dataframe$hvr_region <- paste(vdj_dataframe$v_sequence,
     vdj_dataframe$d_sequence,
     vdj_dataframe$j_sequence,
     sep = ""
   )
-  vdj_dataframe$hvr <- hvr_sequence
   return(vdj_dataframe)
 }
 
@@ -16,33 +16,8 @@ parse_data <- function(files) {
   reversed_sequences <- Biostrings::readQualityScaledDNAStringSet(files[1])
   sequences <- Biostrings::reverseComplement(reversed_sequences)
   vdj_alignment <- read.csv(files[2])
-  vdj_dataframe <- construct_hvr_sequence(vdj_alignment)
+  vdj_dataframe <- construct_dataframe(vdj_alignment)
-  vj_segments <- union(
+  return(list(sequences, vdj_dataframe))
-    readRDS("data/v_segments.rds"),
-    readRDS("data/j_segments_phe.rds")
-  )
-  return(list(sequences, vj_segments, vdj_dataframe))
-}
-
-# TODO Test if grep can return more than one match
-get_vj_sequence <- function(identifier, names, sequences) {
-  row <- grep(names, pattern = identifier)
-  return(as.character(sequences[row]))
-}
-
-construct_full_sequences <- function(vdj_segments, metadata) {
-  v_sequences <- lapply(metadata$v_call,
-    names(vdj_segments),
-    vdj_segments,
-    FUN = get_vj_sequence
-  )
-  j_sequences <- lapply(metadata$j_call,
-    names(vdj_segments),
-    vdj_segments,
-    FUN = get_vj_sequence
-  )
-  full_sequence <- paste(v_sequences, metadata$hvr, j_sequences, sep = "")
-  return(Biostrings::DNAStringSet(full_sequence))
 }
 
 align_sequence <- function(sequence, vdj_segment) {
@@ -50,25 +25,20 @@ align_sequence <- function(sequence, vdj_segment) {
     pattern = sequence,
     subject = vdj_segment,
     type = "global-local",
-    gapOpening = 1,
+    gapOpening = 1
   ))
 }
 
-perform_alignment <- function(sequences, vdj_segments, metadata) {
+perform_alignment <- function(sequences, vdj_segments) {
-  vj_sequences <- construct_full_sequences(vdj_segments, metadata)
+  sequence_alignment <- mcmapply(sequences,
-  sequence_alignment <- mcmapply(vj_sequences,
+    vdj_segments$hvr_region,
-    vdj_segments,
     FUN = align_sequence,
-    mc.cores = detectCores()
+    mc.cores = 4
   )
   return(sequence_alignment)
 }
 
 input_files <- c("data/curesim_sequence.fastq", "data/vdj_alignment.csv")
 data <- parse_data(input_files)
-alignment <- perform_alignment(
+alignment <- perform_alignment(sequences = data[[1]], vdj_segments = data[[2]])
-  sequences = data[[1]],
+print(alignment)
-  vdj_segments = data[[2]],
-  metadata = data[[3]]
-)
-print(alignment)

src/repertoire.r

@@ -20,8 +20,7 @@ save_data <- function(data, reads) {
 process_data <- function(repertoire, reads) {
   columns <- c(
     "sequence", "v_sequence_alignment",
-    "d_sequence_alignment", "j_sequence_alignment",
+    "d_sequence_alignment", "j_sequence_alignment"
-    "v_call", "j_call"
   )
   data <- repertoire[, columns]
   dna_sequence <- Biostrings::DNAStringSet(data$sequence)