Description Usage Arguments Details Value See Also Examples
View source: R/SummarizedExperiment_helpers.R
Used to quickly load read count tables to R.
If df is experiment:
Extracts by getting /QC_STATS directory, and searching for region
Requires ORFikQC
to have been run on experiment!
1 | countTable(df, region = "mrna", type = "count", collapse = FALSE)
|
df |
an ORFik |
region |
a character vector (default: "mrna"), make raw count matrices of whole mrnas or one of (leaders, cds, trailers). |
type |
character, default: "count" (raw counts matrix). Which object type and normalization do you want ? "summarized" (SummarizedExperiment object), "deseq" (Deseq2 experiment, design will be all valid non-unique columns except replicates, change by using DESeq2::design, normalization alternatives are: "fpkm", "log2fpkm" or "log10fpkm". |
collapse |
a logical/character (default FALSE), if TRUE all samples within the group SAMPLE will be collapsed to one. If "all", all groups will be merged into 1 column called merged_all. Collapse is defined as rowSum(elements_per_group) / ncol(elements_per_group) |
If df is path to folder: Loads the the file in that directory with the regex region.rds, where region is what is defined by argument. If loaded as SummarizedExperiment or deseq, the colData will be made from ORFik.experiment information.
a data.table/SummarizedExperiment/DESeq object of columns as counts / normalized counts per library, column name is name of library. Rownames must be unique for now. Might change.
Other countTable:
countTable_regions()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # Make experiment
ORFik.template.experiment()
# Make QC report to get counts ++
# ORFikQC(df)
# Get count Table of mrnas
# countTable(df, "mrna")
# Get count Table of cds
# countTable(df, "cds")
# Get count Table of mrnas as fpkm values
# countTable(df, "mrna", type = "count")
# Get count Table of mrnas with collapsed replicates
# countTable(df, "mrna", collapse = TRUE)
# Get count Table of mrnas as summarizedExperiment
# countTable(df, "mrna", type = "summarized")
# Get count Table of mrnas as DESeq2 object,
# for differential expression analysis
# countTable(df, "mrna", type = "deseq")
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