context("Find n top sequences with highest frequency")
library(LymphoSeq2)
library(tidyverse)
test_that("Find top sequence in all samples", {
stable <- LymphoSeq2::readImmunoSeq("test_data/015V06013979_CFAR.tsv", threads = 1)
atable <- LymphoSeq2::productiveSeq(stable, aggregate = "junction_aa")
ttable <- LymphoSeq2::topSeqs(atable, top = 1) %>%
dplyr::pull(duplicate_frequency) %>%
base::max()
ctable <- atable %>%
dplyr::pull(duplicate_frequency) %>%
base::max()
expect_equal(ctable, ttable)
})
test_that("Find the top ten sequences in one sample", {
stable <- LymphoSeq2::readImmunoSeq("test_data/015V06013979_CFAR.tsv", threads = 1)
atable <- LymphoSeq2::productiveSeq(stable, aggregate = "junction_aa")
ttable <- LymphoSeq2::topSeqs(atable, top = 10) %>%
dplyr::pull(duplicate_frequency)
ctable <- atable %>%
dplyr::pull(duplicate_frequency) %>%
base::unique() %>%
base::sort(decreasing = TRUE)
expect_equal(ctable[1:10], ttable)
})
test_that("Top sequences across samples is correctly identified", {
stable <- LymphoSeq2::readImmunoSeq("test_data/", threads = 1)
atable <- LymphoSeq2::productiveSeq(stable, aggregate = "junction_aa")
ttable <- LymphoSeq2::topSeqs(atable, top = 1)
ctable <- atable %>%
dplyr::group_by(repertoire_id) %>%
dplyr::group_split(.keep = TRUE) %>%
purrr::map(LymphoSeq2::topSeqs) %>%
dplyr::bind_rows()
expect_true(base::all.equal(ctable, ttable))
})
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