- R : free software environment for statistical computing and graphics.
- Bioconductor: R packages for bioinformatics.
- Gviz: Package for genomic region visualization.
IdeogramTrack: Chromosome ideogramGenomeAxisTrack: An axisGeneRegionTrack: Same but for genesAnnotationTrack: Ranges annotationDataTrack: Different types of graphs
plotTracks merges different tracks.
## Let's say we have 'cnv' and 'qtls' GRanges library(Gviz) atrack = AnnotationTrack(cnv, name = "CNVs") gatrack = GenomeAxisTrack() qtrack = DataTrack(qtls, data = qtls$logPv, name = "QTLs") plotTracks(list(gatrack, atrack, qtrack))
qtrack = DataTrack(qtls, data = qtls$logPv, name = "QTLs",
type = "h")
plotTracks(qtrack)
ideoTrack = IdeogramTrack(genome = "hg19", chromosome = "chr21") gatrack = GenomeAxisTrack() plotTracks(list(ideoTrack, gatrack, qtrack))
I downloaded Gencode annotation and parsed it to look like this
load("gencode.v25.ch21.RData")
gencode[1]
## GRanges object with 1 range and 3 metadata columns: ## seqnames ranges strand | feature ## <Rle> <IRanges> <Rle> | <character> ## [1] chr21 [5011799, 5011874] + | protein_coding ## transcript symbol ## <character> <character> ## [1] ENST00000624081.1 CH507-9B2.2 ## ------- ## seqinfo: 25 sequences from an unspecified genome; no seqlengths
from = 36400000
to = 37000000
genetrack = GeneRegionTrack(gencode, genome = "hg19",
name = "Gene", transcriptAnnotation = "symbol")
plotTracks(genetrack, from = from, to = to)
plotTracks(list(ideoTrack, gatrack, genetrack, qtrack),
from = from, to = to)
UCSC tracks can be imported directly, but for some reason it's slow.
ucscGenes = UcscTrack(genome = "hg19", chromosome = "chr21",
from = min(start(gr)), to = max(end(gr)), track = "knownGene",
trackType = "GeneRegionTrack", rstarts = "exonStarts",
rends = "exonEnds", gene = "name", symbol = "name",
transcript = "name", strand = "strand", fill = "#8282d2",
name = "UCSC Genes")
plotTracks(list(gatrack, atrack))
feature argument.group argument.alTrack = AlignmentsTrack(system.file(package = "Gviz",
"extdata", "gapped.bam"), isPaired = TRUE)
plotTracks(c(bmt, alTrack), from = afrom + 12700, to = afrom +
15200, chromosome = "chr12", type = c("coverage",
"sashimi"))