RnaSeqTutorial-functionalGenomics: Functional Genomics High-Level functions
In UPSCb/RnaSeqTutorial: RNA-Seq Tutorial

Description Usage Arguments Value Examples

High level functions for the Functional Genomics course computer lab

1 2	readAbundance(x, pattern = character(0), type = c("kallisto", "salmon"))

`x`	a character value (readAbundance), a DESeqDataSet (reportSizeFactor, transform) or a matrix (all other functions)
`pattern`	a character pattern to match the abundance files (readAbundance)
`type`	a character value to define the type of quantification (readAbundance)
`y`	a data.frame (createDESeqDataSet amd plotPca)
`design`	a design expression (createDESeqDataSet)

TODO FIXME

## Not run: 
  counts <- readAbundance(x="path-to-kallisto-output-dir")
  nonExpressed(counts)
  rawDataMeanPlot(counts)
  rawDataSamplePlot(counts)

## End(Not run)