context('tximeta and Granges')
test_that("tximeta 1",{
duplicate = tximeta_summarizeToGene_object[1,]
rownames(duplicate) = "dup"
SummarizedExperiment::rbind(duplicate, tximeta_summarizeToGene_object) %>%
aggregate_duplicates(.transcript = gene_id)
tximeta_summarizeToGene_object %>%
aggregate_duplicates(.transcript = gene_id)
})
test_that("se no features",{
# Create dataset
nrows <- 200; ncols <- 6
counts <- matrix(runif(nrows * ncols, 1, 1e4), nrows)
rowRanges <- GenomicRanges::GRanges(rep(c("chr1", "chr2"), c(50, 150)),
IRanges::IRanges(floor(runif(200, 1e5, 1e6)), width=100),
strand=sample(c("+", "-"), 200, TRUE),
feature_id=sprintf("ID%03d", 1:200))
colData <- S4Vectors::DataFrame(Treatment=rep(c("ChIP", "Input"), 3), row.names=LETTERS[1:6])
se <- SummarizedExperiment(assays=S4Vectors::SimpleList(counts=counts), rowRanges=rowRanges, colData=colData)
se= rbind( se[1,], se)
se %>%
aggregate_duplicates(.transcript = feature_id)
})
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