library(DESeq2)
library(pasilla)
countData <- read.delim(system.file("extdata/pasilla_gene_counts.tsv", package = "pasilla"),
stringsAsFactors = FALSE, row.names=1)
pData <- read.csv(system.file("extdata/pasilla_sample_annotation.csv", package = "pasilla"),
stringsAsFactors = FALSE)
rownames(pData) <- gsub("fb", "", pData$file)
pData <- pData[colnames(countData),]
pData$type <- factor(pData$type)
levels(pData$type) <- c("paired.end", "single.end")
dds <- DESeqDataSetFromMatrix(countData = countData,
colData = pData,
design = ~ condition + type)
colData(dds)$condition <- factor(colData(dds)$condition,
levels=c("untreated","treated"))
dds.res <- DESeq(dds)
test_1dataframe <- function(){
df <- toReportDF(dds.res, coef = 2, n = 100, make.plots = FALSE)
checkTrue(nrow(df) == 100,
"100 rows are returned in coercing the DataSet to data.frame")
checkTrue(ncol(df) == 4,
"3 columns are returned for the default data.frame")
}
test_2coefs <- function(){
df <- toReportDF(dds.res, resultName = "condition_treated_vs_untreated", n = 100,
make.plots = FALSE)
df2 <- toReportDF(dds.res, resultName = "type_single.end_vs_paired.end", n = 100,
make.plots = FALSE)
checkTrue(any(df$logFC != df2$logFC),
"Results are different between selected coefficients")
df3 <- toReportDF(dds.res,
contrast = c("condition", "treated", "untreated"), n = 100,
make.plots = FALSE)
}
test_3objectToHTML <- function(){
rv <- objectToHTML(dds.res, rep=NULL, factor = dds.res$condition,
contrast = c("condition", "treated", "untreated"), n = 100,
make.plots=FALSE)
df <- rv[[2]]
checkTrue(nrow(df) == 100,
"100 rows are returned in coercing the DataSet to data.frame")
checkTrue(ncol(df) == 4,
"3 columns are returned for the default data.frame")
}
test_4publish <- function(){
htmlRep <- HTMLReport("testDESeqDataSet1",
reportDirectory = "testHTMLDirectory",
title = "Test DESeqDataSet Report 1")
publish(dds.res, htmlRep, factor = dds.res$condition,
contrast = c("condition", "treated", "untreated"), n = 100,
make.plots = TRUE)
finish(htmlRep)
}
test_5modifyDF <- function(){
fives <- function(df, ...){df$Fives <- rep(5, nrow(df)); df}
htmlRep <- HTMLReport("testDESeqDataSet2",
reportDirectory = "testHTMLDirectory",
title = "Test DESeqDataSet Report 2")
publish(dds.res, htmlRep, factor = dds.res$condition,
contrast = c("condition", "treated", "untreated"), n = 100,
make.plots = FALSE, .modifyDF = fives)
finish(htmlRep)
}
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