R/PairwiseAlignment-methods.r

In ge11232002/TFBSTools: Software Package for Transcription Factor Binding Site (TFBS) Analysis

calculate_conservation = function(aln1, aln2, windowSize, which="1"){
  ## This function is used to calculate the conservation profiles for a pairwise alignment.
  # x: a DNAStringSet with length 2 holds the alignment
  # windowSize: the smooth window size
  # which: which seq in the alignment is computed.
  windowSize = as.integer(windowSize)
  if(windowSize %% 2 == 0){
    warning("windows size is not even, turned into odd by -1")
    windowSize = windowSize - 1L
  }
  which = match.arg(which, c("1", "2"))
  if(nchar(aln1) != nchar(aln2))
    stop("'aln1' and 'aln2' must have the same number of characters")

  if(which == "1"){
    alignedSeq1 = aln1
    alignedSeq2 = aln2
  }else{
    alignedSeq1 = aln2
    alignedSeq2 = aln1
  }
  alignedSeq1 = strsplit(as.character(alignedSeq1), "")[[1]]
  alignedSeq2 = strsplit(as.character(alignedSeq2), "")[[1]]
  indexGap = alignedSeq1 == "-" | alignedSeq1 == "." | alignedSeq1 == "_"
  alignedSeq1 = alignedSeq1[!indexGap]
  alignedSeq2 = alignedSeq2[!indexGap]
  matches = alignedSeq1 == alignedSeq2
  conservations = runmean(matches, k=windowSize, alg="C", endrule="mean")
  return(conservations)
}

setMethod("calConservation", 
          signature(aln1="DNAString", aln2="DNAString"),
          function(aln1, aln2, windowSize=51L, which="1"){
            calculate_conservation(as.character(aln1), as.character(aln2),
                                   windowSize=windowSize, which=which)
          }
          )
setMethod("calConservation", 
          signature(aln1="DNAStringSet", aln2="missing"),
          function(aln1, aln2, windowSize=51L, which="1"){
            if(length(aln1) != 2)
              stop("'aln1' must be of length 2 when 'aln2' is missing")
            calculate_conservation(as.character(aln1[1]), 
                                   as.character(aln1[2]), 
                                   windowSize=windowSize, which=which)
          }
          )
setMethod("calConservation", 
          signature(aln1="character", aln2="missing"),
          function(aln1, aln2, windowSize=51L, which="1"){
            if(length(aln1) != 2)
              stop("'aln1' must be of length 2 when 'aln2' is missing")
            calculate_conservation(aln1[1], aln1[2], 
                                   windowSize=windowSize, which=which)
          }
          )
setMethod("calConservation", 
          signature(aln1="character", aln2="character"),
          function(aln1, aln2, windowSize=51L, which="1"){
            calculate_conservation(aln1, aln2, 
                                   windowSize=windowSize, which=which)
          }
          )

do_sitesearchOneStrand = function(pwm, aln1, aln2, 
                                  seqname1="Unknown1", seqname2="Unknown2",
                                  strand, min.score, 
                                  conservation, cutoff, type="any"){
  seq1 = gsub("(-|_|\\.)", "", aln1)
  seq2 = gsub("(-|_|\\.)", "", aln2)
  site1 = searchSeq(pwm, seq1, seqname=seqname1,
                    strand=strand, min.score=min.score)
  site2 = searchSeq(pwm, seq2, seqname=seqname2,
                    strand=strand, min.score=min.score)
  siteset1 = views(site1)
  siteset2 = views(site2)
  stopifnot(all(diff(start(siteset1)) >= 1) && all(diff(start(siteset2)) >= 1))
  # not quite sure the views returned by matchPWM is ordered by start, just check here.
  alignedSeq1 = strsplit(aln1, "")[[1]]
  alignedSeq2 = strsplit(aln2, "")[[1]]
  indexGap = alignedSeq1 == "-" | alignedSeq1 == "." | alignedSeq1 == "_"
  seq12aln = seq_len(length(alignedSeq1))[!indexGap]
  indexGap = alignedSeq2 == "-" | alignedSeq2 == "." | alignedSeq2 == "_"
  seq22aln = seq_len(length(alignedSeq2))[!indexGap]
  # If we only consider it matched when the starts match.
  #pos1_in_aln = seq12aln[start(siteset1)]
  #pos2_in_aln = seq22aln[start(siteset2)]
  #matchedPairs = match(pos1_in_aln, pos2_in_aln)
  ranges1_in_aln = IRanges(start=seq12aln[start(siteset1)],
                           end=seq12aln[end(siteset1)])
  ranges2_in_aln = IRanges(start=seq22aln[start(siteset2)],
                           end=seq22aln[end(siteset2)])
  matchedPairs = findLargestOverlaps(ranges1_in_aln, ranges2_in_aln)
  
  ## if no match, return empty ans_siteset
  if(length(matchedPairs) == 0L){
    return(list(ans_siteset1=site1[FALSE], ans_siteset2=site2[FALSE]))
  }
  
  # From now, we have matches
  #conservations1 = mapply(window, start=start(siteset1), 
  #                        end=end(siteset1), MoreArgs=list(conservation), 
  #                        SIMPLIFY=FALSE)[!is.na(matchedPairs)]
  conservations1 = mapply(window, start=start(siteset1),
                          end=end(siteset1), MoreArgs=list(conservation),
                          SIMPLIFY=FALSE)[queryHits(matchedPairs)]
  if(type == "all"){
    keep = sapply(lapply(conservations1, ">=", cutoff), all)
  }else if(type == "any"){
    keep = sapply(lapply(conservations1, ">=", cutoff), any)
  }else{
    stop(type, " is not supported yet!")
  }
  #ans_siteset1 = site1[!is.na(matchedPairs)][keep]
  #ans_siteset2 = site2[na.omit(matchedPairs)][keep]
  ans_siteset1 = site1[queryHits(matchedPairs)][keep]
  ans_siteset2 = site2[subjectHits(matchedPairs)][keep]
  return(list(ans_siteset1=ans_siteset1, ans_siteset2=ans_siteset2))
}

do_sitesearch = function(pwm, aln1, aln2, 
                         seqname1="Unknown1", seqname2="Unknown2", 
                         min.score, windowSize, cutoff, 
                         strand="*", type="any", conservation){
# aln1, aln2: characters.
  strand = match.arg(strand, c("+", "-", "*"))
  type = match.arg(type, c("all", "any"))
  if(nchar(aln1) != nchar(aln2))
    stop("'aln1' and 'aln2' must have the same number of characters")
  if(cutoff > 1 || cutoff < 0)
    stop("cutoff must be from 0 to 1.")
  if(is.null(conservation)){
    conservations1 = calConservation(aln1, aln2, 
                                     windowSize=windowSize, which="1")
  }else{
    conservations1 = conservation
  }
  sitesetPos = NULL
  sitesetNeg = NULL
  if(strand %in% c("+", "*")){
    sitesetPos = do_sitesearchOneStrand(pwm, aln1, aln2, 
                                        seqname1=seqname1, seqname2=seqname2,
                                        strand="+", min.score=min.score, 
                                        conservation=conservations1, 
                                        cutoff=cutoff, type=type)
  }
  if(strand %in% c("-", "*")){
    sitesetNeg = do_sitesearchOneStrand(pwm, aln1, aln2, 
                                        seqname1=seqname1, seqname2=seqname2,
                                        strand="-", min.score=min.score, 
                                        conservation=conservations1, 
                                        cutoff=cutoff, type=type)
  }
  if(is.null(sitesetPos) && !is.null(sitesetNeg)){
    ans_siteset1 <- sitesetNeg$ans_siteset1
    ans_siteset2 <- sitesetNeg$ans_siteset2
  }else if(!is.null(sitesetPos) && is.null(sitesetNeg)){
    ans_siteset1 <- sitesetPos$ans_siteset1
    ans_siteset2 <- sitesetPos$ans_siteset2
  }else{
    ans_siteset1 = do.call(c, list(sitesetPos$ans_siteset1, 
                                   sitesetNeg$ans_siteset1))
    ans_siteset2 = do.call(c, list(sitesetPos$ans_siteset2, 
                                   sitesetNeg$ans_siteset2))
  }
  return(SitePairSet(siteset1=ans_siteset1, siteset2=ans_siteset2))
}

setMethod("doSiteSearch", 
          signature(aln1="character", aln2="character"),
          function(pwm, aln1, aln2, min.score="80%", 
                   windowSize=51L, cutoff=0.7,
                   conservation=NULL){
            do_sitesearch(pwm, aln1, aln2, min.score=min.score, 
                          windowSize=windowSize, cutoff=cutoff, 
                          conservation=conservation)
          }
          )
setMethod("doSiteSearch", 
          signature(aln1="character", aln2="missing"),
          function(pwm, aln1, aln2, min.score="80%", 
                   windowSize=51L, cutoff=0.7,
                   conservation=NULL){
            if(length(aln1) != 2)
              stop("'aln1' must be of length 2 when 'aln2' is missing")
            do_sitesearch(pwm, aln1[1], aln1[2], min.score=min.score, 
                          windowSize=windowSize, cutoff=cutoff, 
                          conservation=conservation)
          }
          )
setMethod("doSiteSearch", 
          signature(aln1="DNAStringSet", aln2="missing"),
          function(pwm, aln1, aln2, min.score="80%", 
                   windowSize=51L, cutoff=0.7,
                   conservation=NULL){
            if(length(aln1) != 2)
              stop("'aln1' must be of length 2 when 'aln2' is missing")
            do_sitesearch(pwm, as.character(aln1[1]), as.character(aln1[2]), 
                          min.score=min.score, windowSize=windowSize, 
                          cutoff=cutoff, conservation=conservation)
          }
          )
setMethod("doSiteSearch", 
          signature(aln1="DNAString", aln2="DNAString"),
          function(pwm, aln1, aln2, min.score="80%", 
                   windowSize=51L, cutoff=0.7,
                   conservation=NULL){
            do_sitesearch(pwm, as.character(aln1), as.character(aln2),
                             min.score=min.score, windowSize=windowSize,
                             cutoff=cutoff, conservation=conservation)
          }
          )

do_PairBSgenomeSearchPositive = function(pwm, BSgenome1, BSgenome2, 
                                         chr1, chr2, 
                                         min.score, chain){
  ## I know this is really stupid, 
  ## but I am almost confused by the strand. So split ito positive and negative.
  ## search with Positive pwm
  ## BSgenome1, BSgenome2 are BSgenome object
  ## chr1, chr2 character
  seq1 = getSeq(BSgenome1, chr1)
  seq2 = getSeq(BSgenome2, chr2)
  site1 = suppressWarnings(searchSeq(pwm, seq1, 
                                     seqname=chr1, strand="+", 
                                     min.score=min.score))
  rm(seq1)
  site1GRanges = GRanges(seqnames=chr1, ranges(site1@views), strand="+")
  # we only care about the coordinate based on positive strand, only this coordinate is return by searchSeq.
  site2GRanges = liftOver(site1GRanges, chain)
  # reduce the ranges. can apply on a GRangesList!! Cool!
  site2GRanges = reduce(site2GRanges)
  lengths <- elementNROWS(site2GRanges)
  site2GRanges = site2GRanges[lengths == 1L] 
  # so far, we drop the region with more ranges. 
  # Discuss with Boris for more details.
  # only keep the ranges on chr2
  site2GRanges = site2GRanges[as.character(seqnames(site2GRanges)) == chr2]
  site1 = site1[as.integer(names(site2GRanges))]
  # extend the ranges a bit. Let's use ncol of matrix
  site2GRanges2 = GRanges(seqnames=as.character(seqnames(site2GRanges)), 
                         ranges=IRanges(as.integer(start(site2GRanges)) - 
                                        ncol(pwm@profileMatrix), 
                                        as.integer(end(site2GRanges)) + 
                                        ncol(pwm@profileMatrix)
                                        ),
                         strand=as.character(strand(site2GRanges))
                         )
  site2SeqsSet = getSeq(BSgenome2, site2GRanges2)
  site2 = lapply(site2SeqsSet, function(seq1, pwm, min.score){
               searchSeq(pwm, seq1, strand="+", min.score=min.score)
                         }, pwm, min.score)
  lengths = sapply(site2, length)
  site2 = site2[lengths > 0L]
  site1 = site1[lengths > 0L]
  if(length(site2) == 0L){
    site2 = site1
    return(list(site1=site1, site2=site2))
  }
  site2 = do.call(c, site2)
  site2GRanges2 = site2GRanges2[lengths > 0L]
  # correct the ranges in site2 for negative strand.
  lengthChr2 = length(seq2)
  indexNegative = as.logical(strand(site2GRanges2) == "-")
  ranges(site2GRanges2)[indexNegative] = 
    IRanges(start=lengthChr2-end(site2GRanges2)[indexNegative]+1,
            end=lengthChr2-start(site2GRanges2)[indexNegative]+1
                                                 )
  # build a new site2 with chr2 as subject and new ranges.
  ans_site2 = 
    SiteSet(
            views=Views(subject=seq2,
                        start=start(views(site2)) + start(site2GRanges2) - 1,
                        end=end(views(site2)) + start(site2GRanges2) - 1
                        ),
            seqname=chr2,
            score=score(site2),
            strand=as.character(strand(site2GRanges2)),
            sitesource="TFBS", primary="TF binding site",
            pattern=pwm
            )
  # correct the strand in site2, some are "-" after liftover
  return(list(site1=site1, site2=ans_site2))
}

do_PairBSgenomeSearchNegative = function(pwm, BSgenome1, BSgenome2, 
                                         chr1, chr2,
                                         min.score, chain){
  ## deal with the negative strand
  seq1 = getSeq(BSgenome1, chr1)
  seq2 = getSeq(BSgenome2, chr2)
  site1 = suppressWarnings(searchSeq(pwm, seq1, 
                                     seqname=chr1, strand="-", 
                                     min.score=min.score))
  rm(seq1)
  site1GRanges = GRanges(seqnames=chr1, ranges(site1@views), strand="+")
  site2GRanges = liftOver(site1GRanges, chain)
  site2GRanges = reduce(site2GRanges)
  lengths = sapply(site2GRanges, length)
  site2GRanges = site2GRanges[lengths == 1L]
  site2GRanges = site2GRanges[as.character(seqnames(site2GRanges)) == chr2]
  site1 = site1[as.integer(names(site2GRanges))]
  site2GRanges2 =
    GRanges(seqnames=as.character(seqnames(site2GRanges)),
            ranges=IRanges(as.integer(start(site2GRanges)) - 
                           ncol(pwm@profileMatrix),
                           as.integer(end(site2GRanges)) + 
                           ncol(pwm@profileMatrix)
                           ),
            strand=as.character(strand(site2GRanges))
            )
  site2SeqsSet = getSeq(BSgenome2, site2GRanges2)
  site2 = lapply(site2SeqsSet, function(seq1, pwm, min.score){
               searchSeq(pwm, seq1, strand="-", min.score=min.score)
                         }, pwm, min.score)
  lengths = sapply(site2, length)
  site2 = site2[lengths > 0L]
  site1 = site1[lengths > 0L]
  if(length(site2) == 0L){
    site2 = site1
    return(list(site1=site1, site2=site2))
  }
  site2 = do.call(c, site2)
  site2GRanges2 = site2GRanges2[lengths > 0L]
  # correct the ranges in site2 for negative strand.
  lengthChr2 = length(seq2)
  indexNegative = as.logical(strand(site2GRanges2) == "-")
  ranges(site2GRanges2)[indexNegative] = 
    IRanges(start=lengthChr2-end(site2GRanges2)[indexNegative]+1,
            end=lengthChr2-start(site2GRanges2)[indexNegative]+1
            )
  # build a new site2 with chr2 as subject and new ranges.
  ans_site2 = 
    SiteSet(
            views=Views(subject=seq2,
                        start=start(views(site2)) + start(site2GRanges2) - 1,
                        end=end(views(site2)) + start(site2GRanges2) - 1
                        ),
            seqname=chr2,
            score=score(site2),
            strand=chartr("+-", "-+", as.character(strand(site2GRanges2))),
            sitesource="TFBS", primary="TF binding site",
            pattern=pwm
            )
  return(list(site1=site1, site2=ans_site2))
}

do_PairBSgenomeSearchNew <- function(pwm, BSgenome1, BSgenome2, 
                                     chr1, chr2, 
                                     min.score, chain,
                                     strand){
  ## I know this is really stupid, 
  ## but I am almost confused by the strand. So split ito positive and negative.
  ## search with Positive pwm
  ## BSgenome1, BSgenome2 are BSgenome object
  ## chr1, chr2 character
  seq1 <- getSeq(BSgenome1, chr1)
  seq2 <- getSeq(BSgenome2, chr2)
  site1 <- suppressWarnings(searchSeq(pwm, seq1, 
                                      seqname=chr1, strand=strand, 
                                      min.score=min.score))
  rm(seq1)
  site2 <- suppressWarnings(searchSeq(pwm, seq2,
                                      seqname=chr2, strand=strand,
                                      min.score=min.score))
  rm(seq2)
  site1GRanges <- GRanges(seqnames=chr1, ranges(site1@views), strand="+")
  site2GRanges <- GRanges(seqnames=chr2, ranges(site2@views), strand="+")
  # we only care about the coordinate based on positive strand, 
  # only this coordinate is return by searchSeq.
  site2GRangesLift <- liftOver(site1GRanges, chain)
  # reduce the ranges. can apply on a GRangesList!! Cool!
  site2GRangesLift <- reduce(site2GRangesLift)
  lengths <- elementNROWS(site2GRangesLift)
  
  indexLength1 <- which(lengths == 1L)
  site2GRangesLift <- site2GRangesLift[indexLength1]
  # so far, we drop the region with more ranges. 
  # Discuss with Boris for more details.
  # only keep the ranges on chr2
  site2GRangesLift <- unlist(site2GRangesLift)
  indexForChr <- which(seqnames(site2GRangesLift) == chr2)
  site2GRangesLift <- site2GRangesLift[indexForChr]
  indexToKeepSite1 <- indexLength1[indexForChr]
  
  # extend the ranges a bit. Let's use ncol of matrix
  site2GRangesLiftMerged <- 
    GRanges(seqnames=seqnames(site2GRangesLift),
            ranges=IRanges(start(site2GRangesLift) - 
                           ncol(pwm@profileMatrix), 
                           end(site2GRangesLift) + 
                           ncol(pwm@profileMatrix)
                           ),
            strand=strand(site2GRangesLift)
            )
  # Let's see how site2GRangesLiftMerged overlaps with site2GRanges
  hits <- findOverlaps(site2GRangesLiftMerged, site2GRanges, ignore.strand=TRUE)
  indexToKeepSite1 <- indexToKeepSite1[queryHits(hits)]
  indexToKeepSite2 <- subjectHits(hits)
  return(list(site1=site1[indexToKeepSite1], site2=site2[indexToKeepSite2]))
}

do_PairBSgenomeSearch = function(pwm, BSgenome1, BSgenome2, chr1, chr2,
                                          strand, min.score, chain){
  strand = match.arg(strand, c("+", "-", "*"))
  sitesetPos = NULL
  sitesetNeg = NULL
  if(strand %in% c("+", "*")){
    sitesetPos = 
      do_PairBSgenomeSearchNew(pwm, BSgenome1, BSgenome2, 
                               chr1, chr2, min.score, chain,
                               strand="+")
  }
  if(strand %in% c("-", "*")){
    sitesetNeg = 
      do_PairBSgenomeSearchNew(pwm, BSgenome1, BSgenome2, 
                               chr1, chr2, min.score, chain,
                               strand="-")
  }
  ans_siteset1 = do.call(c, list(sitesetPos$site1, sitesetNeg$site1))
  ans_siteset2 = do.call(c, list(sitesetPos$site2, sitesetNeg$site2))
  return(SitePairSet(siteset1=ans_siteset1, siteset2=ans_siteset2))
}