context("region count functions")
library(ribor)
file.path <- system.file("extdata", "sample.ribo", package = "ribor")
ribo.object<- Ribo(file.path)
file.path <- system.file("extdata", "HEK293_ingolia.ribo", package = "ribor")
green <- Ribo(file.path, rename = rename_default)
total.reads <- get_info(green)[["experiment.info"]][,2][1]
green_rc_alias <- get_region_counts(green,
region = "CDS",
range.lower = 28,
range.upper = 28,
transcript = FALSE,
alias = TRUE,
normalize = FALSE,
experiment = experiments(green)[1])
norm.test1 <- 22 * 1000000 / total.reads
green_rc_original <- get_region_counts(green,
region = "CDS",
range.lower = 28,
range.upper = 28,
transcript = FALSE,
alias = FALSE,
experiment = experiments(green)[1])
test_that("get_region_counts- alias values preserved",
expect_true(all(as.vector(as.character(green_rc_alias[, 4])) ==
as.vector(green_rc_original[, 4]))))
original.names <- unlist(as.character(green_rc_original[, 2]))
actual <- unlist(green_rc_alias[, 2])
expected <- sapply(original.names, rename_default)
test_that("get_region_counts- name ordering preserved",
expect_true(all(actual == expected)))
green_rc_alias <- get_region_counts(green,
region = "CDS",
range.lower = 28,
range.upper = 28,
transcript = FALSE,
alias = FALSE,
normalize = TRUE,
experiment = experiments(green)[1])
actual <- green_rc_alias[5, 4]
expected <- norm.test1
test_that("get_region_counts- normalize function",
expect_true(all(actual == expected)))
green_rc <- get_region_counts(green,
region = "CDS",
range.lower = 28,
range.upper = 28,
transcript = TRUE,
alias = FALSE,
normalize = FALSE,
experiment = experiments(green)[1])
green_rc_norm <- get_region_counts(green,
region = "CDS",
range.lower = 28,
range.upper = 28,
transcript = TRUE,
alias = FALSE,
normalize = TRUE,
experiment = experiments(green)[1])
expected <- unlist(green_rc[, 3] * 1000000/total.reads)
actual <- unlist(green_rc_norm[, 3])
threshold <- 0.001
test_that("get_region_counts- normalize function",
expect_true(all(abs(expected - actual) < threshold)))
green_rc_norm <- get_region_counts(green,
region = "CDS",
range.lower = 28,
range.upper = 28,
transcript = FALSE,
alias = TRUE,
normalize = TRUE,
experiment = experiments(green)[1])
actual <- sum(green_rc_norm[, 4])
test_that("get_region_counts- normalize function",
expect_true(abs(actual - expected) < threshold))
green_rc_norm <- get_region_counts(green,
region = "CDS",
range.lower = 28,
range.upper = 28,
transcript = FALSE,
length = FALSE,
alias = FALSE,
normalize = TRUE,
experiment = experiments(green)[1])
actual <- sum(green_rc_norm[, 5])
test_that("get_region_counts- normalize function",
expect_true(abs(actual - expected) < threshold))
rc_1 <- get_region_counts(ribo.object,
region = c("UtR5", "cDs", "utr3"),
2,
5,
experiment = "Hela_1")
actual <- c(nrow(rc_1), ncol(rc_1))
expected <- c(3, 3)
test_that("get_region_counts- size",
expect_equal(actual, expected))
rc_all <- get_region_counts(ribo.object,
region = c("UtR5", "UTR5j", "cDs", "utr3j", "utr3"),
2,
5,
experiment = "Hela_1")
actual <- c(nrow(rc_all), ncol(rc_all))
expected <- c(5, 3)
test_that("get_region_counts- size",
expect_equal(actual, expected))
actual <- sum(rc_all[, 3])
expected <- 118
test_that("get_region_counts- total count",
expect_equal(actual, expected))
rc_3 <- get_region_counts(ribo.object,
region = c("CDS"),
2,
5,
length = TRUE,
transcript = FALSE,
experiment = c("Hela_1"))
actual <- c(nrow(rc_3), ncol(rc_3))
expected <- c(3, 4)
test_that("get_region_counts- size",
expect_equal(actual, expected))
actual <- rc_3[1, ][["count"]]
expected <- 13
test_that("get_region-count- preserving transcripts",
expect_equal(actual, expected))
rc_4 <- get_region_counts(ribo.object,
region = c("UtR5j"),
2,
5,
length = FALSE,
transcript = TRUE)
actual <- c(nrow(rc_4), ncol(rc_4))
expected <- c(20, 4)
test_that("get_region-count- size",
expect_equal(actual, expected))
actual <- sum(rc_4$count)
expected <- 102
test_that("get_region_count- preserving lengths",
expect_equal(actual, expected))
rc_1 <- get_region_counts(ribo.object,
region = c("UtR5", "cDs", "utr3"),
2,
5,
compact = FALSE,
experiment = "Hela_1")
actual <- c(nrow(rc_1), ncol(rc_1))
expected <- c(3, 3)
test_that("get_region_counts- noncompact, size",
expect_equal(actual, expected))
rc_all <- get_region_counts(ribo.object,
region = c("UtR5", "UTR5j", "cDs", "utr3j", "utr3"),
2,
5,
compact = FALSE,
experiment = "Hela_1")
actual <- c(nrow(rc_all), ncol(rc_all))
expected <- c(5, 3)
test_that("get_region_counts- noncompact, size",
expect_equal(actual, expected))
actual <- sum(rc_all[, 3])
expected <- 118
test_that("get_region_counts- noncompact, total count",
expect_equal(actual, expected))
rc_3 <- get_region_counts(ribo.object,
region = c("CDS"),
2,
5,
length = TRUE,
transcript = FALSE,
compact = FALSE,
experiment = c("Hela_1"))
actual <- c(nrow(rc_3), ncol(rc_3))
expected <- c(3, 4)
test_that("get_region_counts- size",
expect_equal(actual, expected))
actual <- rc_3[1, ][["count"]]
expected <- 13
test_that("get_region-count- noncompact, preserving transcripts",
expect_equal(actual, expected))
rc_4 <- get_region_counts(ribo.object,
region = c("UtR5j"),
2,
5,
compact = FALSE,
length = FALSE,
transcript = TRUE)
actual <- c(nrow(rc_4), ncol(rc_4))
expected <- c(20, 4)
test_that("get_region-count- noncompact, size",
expect_equal(actual, expected))
actual <- sum(rc_4$count)
expected <- 102
test_that("get_region_count- noncompact, preserving lengths",
expect_equal(actual, expected))
ld <- get_length_distribution(ribo.object, "CDS", compact = FALSE)
rc <- get_region_counts(ribo.object, region = "CDS", compact = FALSE, length = FALSE)
test_that("get length distribution- compact, returns data.frame",
expect_true(is.data.frame(ld)))
test_that("get length distribution- compact, correctness for counts",
expect_equal(ld$count, rc$count))
ld <- get_length_distribution(ribo.object, "CDS")
rc <- get_region_counts(ribo.object, region = "CDS", compact = FALSE, length = FALSE)
test_that("get length distribution- compact, correctness for counts",
expect_equal(ld$count, rc$count))
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