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Data on features - genes, transcripts, and exons - is presented before and after normalization as _reads and _rpkm spreadsheets. In these spreadsheets, samples are listed one per row and the normalized counts of the reads mapped to features are in columns. _rpkm spreadsheets can be used to perform differential expression analysis using ANOVA. It may also be useful to view how samples group together using a PCA plot. Select View > Scatter Plot from the toolbar or press (Image Removed) from Image Added on the quick action bar to create a PCA plot from the selected spreadsheet.  For more information about PCA plots, see