Defines functions extendTranscripts extendSingleTranscript extendTranscriptsPerGene

Documented in extendSingleTranscript extendTranscriptsPerGene

#' Extend truncated transcripts to the longest annotated transcript.
#' Identify transcripts that are flagged as start or end not found and extend them by adding 
#' missing exons from the longest transcript of the gene. Importantly, if the last exon
#' at the truncated end is not present in the longest transcript, then the truncated transcript 
#' will not be extended, because there is no information supporting that exon junction.
#' @param metadata data frame of transcript metadata (required columns: ensembl_transcript_id, 
#' longest_start, longest_end, cds_start_NF, cds_end_NF, cds_start_end_NF).
#' @param exons named list of GRanges objects containing the exon coordinates for each transcript.
#' @param cdss named list of GRanges objects containing the CDS coordinates for each transcript.
#' @return List of GRanges lists (exons and cdss). Contains the update exon and CDS coordinates for 
#' transcripts that were previously truncated.
#' @author Kaur Alasoo
#' @export 
extendTranscriptsPerGene <- function(metadata, exons, cdss){
  #Extend truncated transcripts for a single gene
  #Identify IDs of transcripts with longest starts and ends
  longest_start_id = dplyr::filter(metadata, longest_start == 1) %>% dplyr::select(ensembl_transcript_id) %>% unlist()
  longest_end_id = dplyr::filter(metadata, longest_end == 1) %>% dplyr::select(ensembl_transcript_id) %>% unlist()
  #Go through all mRNA ends first
  truncated_transcripts = dplyr::filter(metadata, cds_start_end_NF > 0)
  new_exons = extendTranscripts(truncated_transcripts, longest_start_id, longest_end_id, exons[metadata$ensembl_transcript_id])
  #Modify CDS for the transcripts that have been extended
  extended_transcripts = names(new_exons)
  truncated_cds = dplyr::filter(metadata, ensembl_transcript_id %in% extended_transcripts) %>%
    dplyr::filter(ensembl_transcript_id %in% names(cdss))
  new_cdss = extendTranscripts(truncated_cds, longest_start_id, longest_end_id, cdss[intersect(names(cdss),metadata$ensembl_transcript_id)])
  return(list(exons = new_exons, cdss = new_cdss))

#' Extend a single transcript in one direction using exons from the reference transcript
#' @param tx_id ID of the truncated transcript.
#' @param longest_tx_id ID of the reference transcript.
#' @param direction Direction of extension (upstream or downstream)
#' @param exons GRangesList of transcripts.
#' @param max_exon_extension If truncated and reference transcripts exon bpundaries do not match,
#' then this specifies the maximum number of allowed nucleotides that the truncated transcript can be longer 
#' than the reference transcript for the extension to proceed.
#' @return Extended version of the truncated transcript (GRanges object)
extendSingleTranscript <- function(tx_id, longest_tx_id, direction, exons, max_exon_extension = 100000){
  #By default, exptent the transcript
  extend = TRUE
  #Extend single transcript tx_id based on reference transcript (longest_tx_id) in a specifed direction
  tx_exons = exons[[tx_id]]
  longest_tx_exons = exons[[longest_tx_id]]

  #Do not exptend if the transcripts do not overlap with each other
  if(length(findOverlaps(tx_exons, longest_tx_exons)) == 0){
    extend = FALSE
  } else{
    diff = reviseAnnotations::indentifyAddedRemovedRegions(tx_id, longest_tx_id, exons[c(tx_id, longest_tx_id)])

    #Identify potential unique exon in the truncated end and set a flag
    tx_spec_exons = diff[[tx_id]]
    if(length(tx_spec_exons) > 0){
      #Does the truncateted transcript have unique exons at the truncated end?
      tx_direction_exons = tx_spec_exons[elementMetadata(tx_spec_exons)[,direction] == 1]
      if(length(tx_direction_exons) > 0){
        #Identify original exons of the truncated transcript
        tx_dir_full_exons = tx_exons[S4Vectors::subjectHits(GenomicRanges::findOverlaps(tx_direction_exons, tx_exons))]
        #Find if the orginal exons overlap exons int the longest transcript
        query_hits = S4Vectors::queryHits(GenomicRanges::findOverlaps(tx_dir_full_exons, longest_tx_exons))
        if(length(query_hits) > length(tx_direction_exons)){ #Some query exons do not overlap exons in longest transcript
          extend = FALSE
        } else{
          if (sum(width(tx_direction_exons)) > max_exon_extension){ #All query exons overlap the longest trancript, but the differences is greater than 15 nucleotides
            extend = FALSE
  #If truncated transcript has unique exon (or a bit of exon) in the truncated end, then do not extend
  #Otherwise proceed with the extension
    #Find the exons that are missing in truncated transcript
    missing_exons = diff[[longest_tx_id]]
    new_exons = GRanges()
    #Only extend transcript if there are missing exons present
    if(length(missing_exons) > 0){
      missing_direction_exons = missing_exons[elementMetadata(missing_exons)[,direction] == 1,]
      if(length(missing_direction_exons) > 0){
        #Add new exons to the original transcript
        new_exons = mergeGRangesIgnoreMeta(tx_exons, missing_direction_exons)

extendTranscripts <- function(truncated_transcripts_meta, longest_start_id, longest_end_id, feature_list){
  #Extend all transcripts specifed in the truncated_transcripts_meta file
  #truncated_transcripts_meta - metadata for the truncated tranacripts of the genes
  #longest_end_id - id of the transcript with the longest end flag
  #longest_start_id - id of the transcript with the longest start flag
  #feature_list - GRangesList object containg either mRNA or CDS regions
  results = list()
  #Identify transcripts with missing ends
  if(length(longest_end_id) == 1){
    missing_ends = dplyr::filter(truncated_transcripts_meta, cds_end_NF == 1)$ensembl_transcript_id
    missing_tx_list = as.list(missing_ends)
    names(missing_tx_list) = missing_ends

    #Extend txs with missing ends to the longest transcripts
    missing_ends_new = lapply(missing_tx_list, extendSingleTranscript, longest_end_id, direction = "downstream", feature_list)
    new_ends_exon_counts = lapply(missing_ends_new, length) %>% unlist()
    missing_ends_new = missing_ends_new[new_ends_exon_counts > 0]
    results = missing_ends_new
    modified_features = c(GRangesList(results), removeMetadata(feature_list[setdiff(names(feature_list), names(results))]))
  #Identify transcripts with missing starts
  if(length(longest_start_id) == 1){
    missing_starts = dplyr::filter(truncated_transcripts_meta, cds_start_NF == 1)$ensembl_transcript_id
    missing_starts_list = as.list(missing_starts)
    names(missing_starts_list) = missing_starts
    #Add missing starts
    missing_starts_new = lapply(missing_starts_list, extendSingleTranscript, longest_start_id, direction = "upstream", modified_features)
    new_starts_exon_counts = lapply(missing_starts_new, length) %>% unlist()
    missing_starts_new = missing_starts_new[new_starts_exon_counts > 0]
    results = c(missing_starts_new, results[setdiff(names(results), names(missing_starts_new))])
kauralasoo/reviseAnnotations documentation built on Oct. 22, 2017, 3:13 p.m.