Question: R+Gviz: Fake AlignmentsTrack() to visualize Enhancer-Promoter connections
gravatar for zepper
15 months ago by
zepper50 wrote:

Hello Biostars-Community,

I would need your kind suggestions regarding an issue with the Gviz package from Bioconductor. I am attempting plot Enhancer-Promoter connections and tried to (mis)use the AlignmentsTrack() function and the "sashimi" plots display type for it.

Typically, alignment tracks are generated from BAM files and if I do that, I can nicely display the sashimi plots as shown in the manual. However I would like to visualize enhancer-promoter connections and thus attempted to create a fake alignment file from simulated reads spanning the coordinates of the enhancers and promoters and connecting them with introns.

Unfortunately for this fake file, I can't get the sashimi plots to work. It will display the fake reads in the "pileup" mode, but when I choose type="sashimi", the track remains blank and I get a strange error. I suppose the sashimi plot depends on additional columns like the mapping quality or such, that would automatically be read from a BAM file, but which I didn't provide with the simulated data. Any suggestions?

Thanks a lot Matthias

Minimal working (not working) example:


    eppairs <-
          ID_trscpt = c("Ppp3cb.NM_001310426", "Ppp3cb.NM_001310427"),
          ID_enh = c(
          Relevance_int = c(21.32, 10.66),
          chr = c("chr14", "chr14"),
          start = c(21460154L, 21297822L),
          stop = c(21460564L, 21298296L),
          chr_trscpt = c("chr14", "chr14"),
          start_trscpt = c(21365694L,
          stop_trscpt = c(21366295L, 21366295L),
          Gene = c("Ppp3cb",
        .Names = c(
        row.names = c(7981L, 7984L),
        class = "data.frame"

# construct a fake alignment file for sashimi plots. For each relevance point connection, add 10 fake aligned read pairs
read_weights <- floor(eppairs[,"Relevance_int"]*10)

sashimidata <- eppairs[,c("start","stop","start_trscpt","stop_trscpt")]
sashimidata <- apply(sashimidata,1,function(x){
  y <- sort(as.numeric(x))

sashimidata <- data.frame("chr"=rep(eppairs[,"chr"],read_weights),"rbind",sashimidata[rep(names(sashimidata),read_weights)]))

track_ep_pairs <- AlignmentsTrack(range=with(sashimidata,GRanges(chr,IRanges(start,stop),"*",cigar)),genome="mm9",isPaired=FALSE)

# works, I see gapped reads
plotTracks(list(track_ep_pairs),extend.left = 0.1, extend.right = 0.1)
# Error
plotTracks(list(track_ep_pairs),extend.left = 0.1, extend.right = 0.1,type="sashimi")

#Error in GAlignments(seqnames = seqnames(range), pos = start(range), cigar = range$cigar,  : 
#                        'cigar' must be a character vector with no NAs

# BUT:
#601M93859N410M 474M67398N601M 
#213            106$cigar))
#[1] FALSE
gviz sashimi genomicranges R • 612 views
ADD COMMENTlink modified 15 months ago • written 15 months ago by zepper50
gravatar for zepper
15 months ago by
zepper50 wrote:

Thanks to everybody, who read this post and tried to help. I could solve the problem now.

I was unfamiliar with the data format of Gviz tracks, but it turned out that the underlying data can be manipulated just as a regular GRanges object. After I finally found out that a simple


gives you access to the data used to generate a track, I could analyze it and track down issues. While mcols() won't work on tracks, ranges() does. It turns out that a simple factor to character conversion of the cigar column will do:

track_ep_pairs <- AlignmentsTrack(range=with(sashimidata,GRanges(chr,IRanges(start,stop),"*",cigar)),genome="mm9",isPaired=FALSE)
ranges(track_ep_pairs)$cigar <- as.character(ranges(track_ep_pairs)$cigar)

Now the sashimi plots render like a charm. Yeah!

ADD COMMENTlink written 15 months ago by zepper50
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