context("vepInPhenoLevel")
# Settings ----
# VCF file
vcfFile <- system.file("extdata", "moderate.vcf", package = "TVTB")
# Phenotype file
phenoFile <- system.file("extdata", "moderate_pheno.txt", package = "TVTB")
phenotypes <- S4Vectors::DataFrame(
read.table(file = phenoFile, header = TRUE, row.names = 1))
# TVTB parameters
tparam <- TVTBparam(Genotypes("0|0", c("0|1", "1|0"), "1|1"))
# Pre-process variants
vcf <- VariantAnnotation::readVcf(
vcfFile, param = tparam, colData = phenotypes)
vcf <- VariantAnnotation::expand(vcf, row.names = TRUE)
# Signatures ----
test_that("vepInPhenoLevel() supports all signatures",{
# ExpandedVCF, / implicitely tested by higher functions TODO:
expect_s4_class(
vepInPhenoLevel(vcf, "super_pop", "AFR", "CADD_PHRED", FALSE),
"GRanges"
)
})
# No data to return after filtering ----
test_that("vepInPhenoLevel() supports all signatures",{
# ExpandedVCF, / implicitely tested by higher functions TODO:
expect_s4_class(
vepInPhenoLevel(vcf, "super_pop", "AFR", "CADD_PHRED", FALSE),
"GRanges"
)
})
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