#----Load data------------------------------------------------------------------
data(sample_info)
data(tx2gene)
qc_table <- summary_stats_fastp(system.file("extdata", package = "bears"))
mappingdir <- system.file("extdata", package = "bears")
gff_path <- system.file(
"extdata", "Homo_sapiens.GRCh37.75_subset.gtf", package = "bears"
)
stringtiedir <- file.path(tempdir(), "stringtiedir")
## Create a random SummarizedExperiment object
nrows <- 200
ncols <- 6
counts <- matrix(runif(nrows * ncols, 1, 1e4), nrows)
colData <- data.frame(
Treatment = rep(c("ChIP", "Input"), 3),
row.names = LETTERS[1:6]
)
se_random <- SummarizedExperiment::SummarizedExperiment(
assays = list(counts = counts), colData = colData
)
## Change PATH
Sys.setenv(
PATH = paste(
Sys.getenv("PATH"),
paste0(Sys.getenv("HOME"), "/.local/bin"),
paste0(
Sys.getenv("HOME"),
"/Documents/Programs/salmon-1.9.0_linux_x86_64/bin/"
),
"/opt/STAR-2.7.9a/bin/Linux_x86_64_static/",
"/opt/salmon-1.9.0_linux_x86_64/bin/",
"/opt/bin/",
"/opt/kallisto/",
"/opt/subread-2.0.3-Linux-x86_64/bin/",
"/opt/stringtie-2.1.7.Linux_x86_64/",
"/opt/taco-v0.7.3.Linux_x86_64/",
sep = ":"
)
)
#----Start tests----------------------------------------------------------------
test_that("transcriptome assembly and quantification with StringTie works()", {
sa <- data.frame()
tm <- data.frame()
stq <- data.frame()
se_gene <- se_random
se_tx <- se_random
se_both <- list()
if(stringtie_is_installed() & taco_is_installed()) {
## Assemble transcriptomes with StringTie
sa <- stringtie_assemble(
sample_info, qc_table, mappingdir, gff_path, stringtiedir
)
## Merge transcriptome assemblies with TACO
tm <- taco_merge(sample_info, stringtiedir)
## Quantify the expression with StringTie
stq <- stringtie_quantify(
sample_info, qc_table, mappingdir, gff_path, stringtiedir
)
## Parse StringTie output as a SummarizedExperiment object
se_gene <- stringtie2se(sample_info, stringtiedir, "gene", tx2gene)
se_tx <- stringtie2se(sample_info, stringtiedir, "transcript", tx2gene)
se_both <- stringtie2se(sample_info, stringtiedir, "both", tx2gene)
expect_error(
stringtie2se(sample_info, stringtiedir, "error", tx2gene)
)
}
expect_equal(class(sa), "data.frame")
expect_equal(class(tm), "data.frame")
expect_true("SummarizedExperiment" %in% class(se_gene))
expect_true("SummarizedExperiment" %in% class(se_tx))
expect_equal(class(se_both), "list")
})
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