Question

How to construct a SummarizedExperiment object?

0

Entering edit mode

Yijing • 0

@d0a8eb95

Last seen 13 months ago

Germany

Hello,

I am new to analysing RNA-seq data. I try to construct a SummarizedExperiment object for counts and metadata. On the tutorial, it only mentioned that "Often, SummarizedExperiment or RangedSummarizedExperiment objects are returned by functions written by other packages. " Does anyone know what other packages can be used for constructing SummarizedExperiment object?

SummarizedExperiment • 2.1k views

ADD COMMENT • link 18 months ago Yijing • 0

score 1 · Answer 1 · 2023-05-08

1

Entering edit mode

James W. MacDonald 67k

@james-w-macdonald-5106

Last seen 1 day ago

United States

If you plan to use DESeq2 to analyze your data, follow the vignette. The object you create inherits from the SummarizedExperiment class, and you can create it easily. If you are planning to use edgeR or limma, then you don't need a SummarizedExperiment.

ADD COMMENT • link 18 months ago James W. MacDonald 67k

0

Entering edit mode

Thank you for your reply! But there are only procedures for creating DESeqDataSetFromTximport in the vignette, which seems not the SummarizedExperiment object I want. I do not quite understand what does this mean: The object you create inherits from the SummarizedExperiment class, and you can create it easily.

ADD REPLY • link 18 months ago Yijing • 0

1

Entering edit mode

The vignette has procedures for four different input types, not just one! You can use a matrix of counts, or use tximport or an existing SummarizedExperiment object, or HT-Seq counts.

> library(DESeq2)
> example(DESeqDataSetFromMatrix )

DESDSF> countData <- matrix(1:100,ncol=4)

DESDSF> condition <- factor(c("A","A","B","B"))

DESDSF> dds <- DESeqDataSetFromMatrix(countData, DataFrame(condition), ~ condition)
> dds
class: DESeqDataSet 
dim: 25 4 
metadata(1): version
assays(1): counts
rownames: NULL
rowData names(0):
colnames: NULL
colData names(1): condition
> class(dds)
[1] "DESeqDataSet"
attr(,"package")
[1] "DESeq2"
> is(dds, "SummarizedExperiment")
[1] TRUE

The dds object inherits from SummarizedExperiment, and it was easy to make from a matrix of counts and a data.frame describing the data. Any object that inherits from SummarizedExperiment will act like a SummarizedExperiment so you don't have to care that it's actually a DESeqDataSet if you want to treat it like a SummarizedExperiment.