Nothing
test_that("SymbolFilter works for gene", {
sf <- SymbolFilter("SKA2")
gnf <- GenenameFilter("SKA2")
returnFilterColumns(edb) <- FALSE
gns_sf <- genes(edb, filter = sf)
gns_gnf <- genes(edb, filter = gnf)
expect_equal(gns_sf, gns_gnf)
returnFilterColumns(edb) <- TRUE
gns_sf <- genes(edb, filter=sf)
expect_equal(gns_sf$gene_name, gns_sf$symbol)
## Hm, what happens if we use both?
gns <- genes(edb, filter=list(sf, gnf))
## All fine.
})
test_that("SymbolFilter works for tx", {
sf <- SymbolFilter("SKA2")
gnf <- GenenameFilter("SKA2")
returnFilterColumns(edb) <- FALSE
tx_sf <- transcripts(edb, filter=sf)
tx_gnf <- transcripts(edb, filter=gnf)
expect_equal(tx_sf, tx_gnf)
returnFilterColumns(edb) <- TRUE
tx_sf <- transcripts(edb, filter=sf, columns=c("gene_name"))
expect_equal(tx_sf$gene_name, tx_sf$symbol)
})
test_that("SymbolFilter works for exons", {
sf <- SymbolFilter("SKA2")
gnf <- GenenameFilter("SKA2")
returnFilterColumns(edb) <- FALSE
ex_sf <- exons(edb, filter=sf)
ex_gnf <- exons(edb, filter=gnf)
expect_equal(ex_sf, ex_gnf)
returnFilterColumns(edb) <- TRUE
ex_sf <- exons(edb, filter=sf, columns=c("gene_name"))
expect_equal(ex_sf$gene_name, ex_sf$symbol)
})
test_that("SymbolFilter works", {
sf <- SymbolFilter("SKA2")
res <- genes(edb, filter = sf, return.type = "data.frame")
expect_equal(res$gene_id, "ENSG00000182628")
## We need now also a column "symbol"!
expect_equal(res$symbol, res$gene_name)
## Asking explicitely for symbol
res <- genes(edb, filter = sf, return.type = "data.frame",
columns = c("symbol", "gene_id"))
expect_equal(colnames(res), c("symbol", "gene_id"))
## Some more stuff, also shuffling the order.
res <- genes(edb, filter = sf, return.type = "data.frame",
columns = c("gene_name", "symbol", "gene_id"))
expect_equal(colnames(res), c("gene_name", "symbol", "gene_id"))
res <- genes(edb, filter = sf, return.type = "data.frame",
columns = c("gene_id", "gene_name", "symbol"))
expect_equal(colnames(res), c("gene_id", "gene_name", "symbol"))
## And with GRanges as return type.
res <- genes(edb, filter = sf, return.type = "GRanges",
columns = c("gene_id", "gene_name", "symbol"))
expect_equal(colnames(mcols(res)), c("gene_id", "gene_name", "symbol"))
## Combine tx_name and symbol
res <- genes(edb, filter = sf, columns = c("tx_name", "symbol"),
return.type = "data.frame")
expect_equal(colnames(res), c("tx_name", "symbol", "gene_id"))
expect_true(all(res$symbol == "SKA2"))
## Test for transcripts
res <- transcripts(edb, filter=sf, return.type="data.frame")
expect_true(all(res$symbol == "SKA2"))
res <- transcripts(edb, filter = sf, return.type = "data.frame",
columns = c("symbol", "tx_id", "gene_name"))
expect_true(all(res$symbol == "SKA2"))
expect_equal(res$symbol, res$gene_name)
expect_equal(colnames(res), c("symbol", "tx_id", "gene_name"))
## Test for exons
res <- exons(edb, filter=sf, return.type="data.frame")
expect_true(all(res$symbol == "SKA2"))
res <- exons(edb, filter = c(sf, TxBiotypeFilter("nonsense_mediated_decay")),
return.type = "data.frame",
columns = c("symbol", "tx_id", "gene_name"))
expect_true(all(res$symbol == "SKA2"))
expect_equal(res$symbol, res$gene_name)
expect_equal(colnames(res), c("symbol", "tx_id", "gene_name", "exon_id",
"tx_biotype"))
## Test for exonsBy
res <- exonsBy(edb, filter=sf)
expect_true(all(unlist(res)$symbol == "SKA2"))
res <- exonsBy(edb, filter = c(sf, TxBiotypeFilter("nonsense_mediated_decay")),
columns = c("symbol", "tx_id", "gene_name"))
expect_true(all(unlist(res)$symbol == "SKA2"))
expect_equal(unlist(res)$symbol, unlist(res)$gene_name)
})
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