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#' Graph plot of possible fusion transcripts.
#'
#' This function takes a fusion object and a TranscriptDb object and plots a
#' graph showing the possible fusion transcripts.
#'
#' @param fusion The Fusion object to plot.
#' @param edb The edb object that will be used to fetch data.
#' @param which_transcripts This character vector decides which transcripts are
#' to be plotted. Can be "exonBoundary", "withinExon", "withinIntron",
#' "intergenic", or a character vector with specific transcript ids. Default
#' value is "exonBoundary".
#' @param rankdir Choose whether the graph should be plotted from left to right
#' ("LR"), or from top to bottom ("TB"). This parameter is given to
#' Rgraphviz::plot().
#'
#' @return Creates a fusion transcripts graph plot.
#'
#' @examples
#' # Load data and example fusion event
#' defuse833ke <- system.file(
#' "extdata",
#' "defuse_833ke_results.filtered.tsv",
#' package="chimeraviz")
#' fusions <- import_defuse(defuse833ke, "hg19", 1)
#' fusion <- get_fusion_by_id(fusions, 5267)
#' # Load edb
#' edbSqliteFile <- system.file(
#' "extdata",
#' "Homo_sapiens.GRCh37.74.sqlite",
#' package="chimeraviz")
#' edb <- ensembldb::EnsDb(edbSqliteFile)
#' # Temporary file to store the plot
#' pngFilename <- tempfile(
#' pattern = "fusionPlot",
#' fileext = ".png",
#' tmpdir = tempdir())
#' # Open device
#' png(pngFilename, width = 500, height = 500)
#' # Plot!
#' plot_fusion_transcripts_graph(
#' fusion = fusion,
#' edb = edb)
#' # Close device
#' dev.off()
#'
#' @export
plot_fusion_transcripts_graph <- function(
fusion,
edb = NULL,
which_transcripts = "exonBoundary",
rankdir = "TB") {
.validate_plot_fusion_transcripts_graph_params(
fusion,
edb,
which_transcripts,
rankdir
)
fusion <- .get_transcripts_if_not_there(fusion, edb)
# Select which transcripts to use
transcripts_upstream <-
select_transcript(fusion@gene_upstream, which_transcripts)
transcripts_downstream <-
select_transcript(fusion@gene_downstream, which_transcripts)
# Unlist
transcripts_upstream <- unlist(transcripts_upstream)
transcripts_downstream <- unlist(transcripts_downstream)
# calculate fusion transcripts
# Select the exons that are part of a possible fusion transcript. I.e. these:
#
# 1: geneA is on the + strand
# Exons with start/end positions before breakpoint
# 2: geneA is on the - strand
# Exons with start/end positions after breakpoint
# 3: geneB is on the + strand
# Exons with start/end positions after breakpoint
# 4: geneB is on the - strand
# Exons with start/end positions before breakpoint
if (fusion@gene_upstream@strand == "+") {
fusion_exons_upstream <-
transcripts_upstream[
start(ranges(transcripts_upstream)) < fusion@gene_upstream@breakpoint &
end(ranges(transcripts_upstream)) <= fusion@gene_upstream@breakpoint
]
} else {
fusion_exons_upstream <-
transcripts_upstream[
start(ranges(transcripts_upstream)) >= fusion@gene_upstream@breakpoint &
end(ranges(transcripts_upstream)) > fusion@gene_upstream@breakpoint
]
}
if (fusion@gene_downstream@strand == "+") {
fusion_exons_downstream <-
transcripts_downstream[
start(ranges(transcripts_downstream)) >=
fusion@gene_downstream@breakpoint &
end(ranges(transcripts_downstream)) >
fusion@gene_downstream@breakpoint
]
} else {
fusion_exons_downstream <-
transcripts_downstream[
start(ranges(transcripts_downstream)) <
fusion@gene_downstream@breakpoint &
end(ranges(transcripts_downstream)) <=
fusion@gene_downstream@breakpoint
]
}
# If either fusionExonsA or fusionExonsB is empty, then the breakpoint does
# not occur inside any of the transcripts.
if (length(fusion_exons_upstream) == 0) {
stop(paste(
"None of the transcripts given for gene A has the fusion breakpoint ",
"within them. This plot cannot be created with the given transcripts."))
}
if (length(fusion_exons_downstream) == 0) {
stop(paste(
"None of the transcripts given for gene B has the fusion breakpoint ",
"within them. This plot cannot be created with the given transcripts."))
}
# For each transcript in fusionExonsA, match the exons in those transcripts..
transcript_names_upstream <-
unique(unlist(mcols(fusion_exons_upstream)$transcript))
transcript_names_downstream <-
unique(unlist(mcols(fusion_exons_downstream)$transcript))
fusion_transcripts <- GRangesList()
for (i in seq_along(transcript_names_upstream)) {
tr_name_upstream <- transcript_names_upstream[[i]]
for (j in seq_along(transcript_names_downstream)) {
tr_name_downstream <- transcript_names_downstream[[j]]
exons_upstream <- fusion_exons_upstream[
mcols(fusion_exons_upstream)$transcript == tr_name_upstream
]
exons_downstream <- fusion_exons_downstream[
mcols(fusion_exons_downstream)$transcript == tr_name_downstream
]
# Reverse order of exons if on minus strand
if (fusion@gene_upstream@strand == "-") {
exons_upstream <- rev(exons_upstream)
}
if (fusion@gene_downstream@strand == "-") {
exons_downstream <- rev(exons_downstream)
}
new <- append(
exons_upstream,
exons_downstream
)
mcols(new)$transcript <- paste("fusion", i, j, sep = "")
fusion_transcripts <- append(
fusion_transcripts,
GRangesList(new)
)
}
}
fusion_transcripts <- unlist(fusion_transcripts)
exon_names_upstream <-
unique(
mcols(
fusion_transcripts[
mcols(fusion_transcripts)$gene_id == fusion@gene_upstream@ensembl_id
]
)$exon_id
)
exon_names_downstream <-
unique(
mcols(
fusion_transcripts[
mcols(fusion_transcripts)$gene_id == fusion@gene_downstream@ensembl_id
]
)$exon_id
)
# These lists will hold edge information
from <- c()
to <- c()
transcript_names <- sort(unique(mcols(fusion_transcripts)$transcript))
for (i in seq_along(transcript_names)) {
exons_in_transcript <-
fusion_transcripts[
mcols(fusion_transcripts)$transcript == transcript_names[i]
]
for (j in 2:length(exons_in_transcript)) {
# Add normal edge
from <- c(from, mcols(exons_in_transcript[j - 1])$exon_id)
to <- c(to, mcols(exons_in_transcript[j])$exon_id)
}
}
# Use the edge information we've gathered and create a graph
ft <- cbind(from, to)
# Remove edges that go to the same node. Do this because the way
# get_transcripts_ensembl_db is implemented it will split exons in which the
# cds starts or ends. The two new exons from such a split will have the same
# id, causing these edges to appear.
ft <- ft[ft[, 1] != ft[, 2], ]
ft[ft[, 1] == ft[, 2], ]
r_eg <- graph::ftM2graphNEL(unique(ft))
# Color exons
cols <- RColorBrewer::brewer.pal(4, "Paired")
interestcolor <- list(
"excludedA" = cols[1],
"includedA" = cols[2],
"excludedB" = cols[3],
"includedB" = cols[4])
# Create a list of exon names with colors
list_upstream <- rep(interestcolor[2], length(exon_names_upstream))
names(list_upstream) <- exon_names_upstream
list_downstream <- rep(interestcolor[4], length(exon_names_downstream))
names(list_downstream) <- exon_names_downstream
n_attrs <- list()
e_attrs <- list()
n_attrs$fillcolor <- c(
"start" = "gray",
list_upstream,
list_downstream,
"stop" = "gray")
Rgraphviz::plot(
r_eg,
attrs = list(
node = list(
shape = "box",
fontsize = 42),
edge = list(),
graph = list(rankdir = rankdir)), # left-to-right: LR, top-to-bottom: TB
nodeAttrs = n_attrs,
edgeAttrs = e_attrs)
}
.validate_plot_fusion_transcripts_graph_params <- function(
fusion,
edb,
which_transcripts,
rankdir
) {
# Establish a new 'ArgCheck' object
argument_checker <- ArgumentCheck::newArgCheck()
# Check parameters
argument_checker <- .is_fusion_valid(argument_checker, fusion)
argument_checker <- .is_edb_valid(argument_checker, edb, fusion)
argument_checker <- .is_which_transcripts_valid(
argument_checker,
which_transcripts,
fusion)
# The "withinExon" option for which_transcripts will not work for the fusion
# transcripts graph plot. Check if that was the wanted option
if (which_transcripts[[1]] == "withinExon") {
ArgumentCheck::addError(
msg = paste0("The \"withinExon\" option for which_transcripts will not ",
"work for the fusion transcripts graph plot, as only ",
"complete exons can be shown."),
argcheck = argument_checker
)
}
if (class(rankdir) != "character" || !rankdir %in% c("LR", "TB")) {
ArgumentCheck::addError(
msg = "'rankdir' must be one of \"LR\" or \"TB\"",
argcheck = argument_checker
)
}
# Return errors and warnings (if any)
ArgumentCheck::finishArgCheck(argument_checker)
}
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