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. Author manuscript; available in PMC: 2015 May 1.
Published in final edited form as: Methods. 2013 Jul 11;67(1):74–83. doi: 10.1016/j.ymeth.2013.06.037

Figure 4.

Figure 4

Principal component analysis of the 21 PAT samples described in this report. Expression levels were determined using the RNA-seq tool in CLC Genomics Workbench; in all cases, expression values were normalized such that values had the unit of tags per million. PCA analysis was performed and plotted as shown; in this case, the two principal components account for more than 90% of all of the variability amongst the different samples in this study.