context("Test aggregate fusion calls")
standardFusioncalls <- standardFusioncalls <- annoFuse::annoFuse_single_sample(
# Example files are provided in extdata, at-least 1 fusionfile is required along
# with its rsem expression file
fusionfileArriba = system.file("extdata", "arriba_example.tsv", package = "annoFuseData"),
fusionfileStarFusion = system.file("extdata", "starfusion_example.tsv", package = "annoFuseData"),
expressionFile = system.file("extdata", "example.rsem.genes.results.gz", package = "annoFuseData"),
tumorID = "BS_W97QQYKQ",
# multiple read flag values for filtering using FusionAnnotator values
artifactFilter = "GTEx_Recurrent|DGD_PARALOGS|Normal|BodyMap|ConjoinG",
# keep all in-frame , frameshift and other types of Fusion_Type
readingFrameFilter = "in-frame|frameshift|other",
# keep all fusions with atleast 1 junction read support
junctionReadCountFilter = 1,
# keep only fusions where spanningFragCount-junctionReadCountFilter less than equal to 10
spanningFragCountFilter = 10,
# keep read throughs
readthroughFilter = FALSE
)
aggregate_fusion_calls_out <- aggregate_fusion_calls(standardFusioncalls)
test_that("Aggregate fusion calls output from non-empty arriba and starfusion fusion calls", {
expect_equal(
colnames(aggregate_fusion_calls_out),
c(
"LeftBreakpoint", "RightBreakpoint", "FusionName", "Sample", "Caller", "Fusion_Type",
"JunctionReadCount", "SpanningFragCount", "Confidence", "annots", "Gene1A", "Gene2A",
"Gene1B", "Gene2B", "BreakpointLocation", "SpanningDelta", "reciprocal_exists",
"Gene1A_anno", "Gene1B_anno", "Gene2A_anno", "Gene2B_anno", "Fusion_anno",
"CalledBy", "caller_count"
)
)
expect_equal(aggregate_fusion_calls_out[21, "caller_count"], 2)
})
test_that("keep only in-frame and frameshift fusions", {
afc_noother <- aggregate_fusion_calls(standardFusioncalls, removeother = TRUE)
dim(afc_noother)
expect_equal(nrow(afc_noother), 9)
})
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