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Figure S1. Raw output of PCA clustering of tissues. A: Three significantly separated clusters of total 26 studied tissues. B: Two significantly separated clusters of studied tissues without epithelial (skin and tonsil) and reference (muscle and liver) tissues. Cluster boundary significance testing is performed based on K-mean clustering and bivariate t-distribution using stat_ellipse package (https://github.com/JoFrhwld/FAAV/blob/master/r/stat-ellipse.R) and presented in ggplot2 in R.

Figure S1. Raw output of PCA clustering of tissues. A Two · 2016. 3. 8. · Figure S1. Raw output of PCA clustering of tissues. A: Three significantly separated clusters of total

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Page 1: Figure S1. Raw output of PCA clustering of tissues. A Two · 2016. 3. 8. · Figure S1. Raw output of PCA clustering of tissues. A: Three significantly separated clusters of total

Figure S1. Raw output of PCA clustering of tissues. A: Three significantly separated clusters of total 26 studied tissues. B: Two significantly separated clusters of studied tissues without epithelial (skin and tonsil) and reference (muscle and liver) tissues. Cluster boundary significance testing is performed based on K-mean clustering and bivariate t-distribution using stat_ellipse package (https://github.com/JoFrhwld/FAAV/blob/master/r/stat-ellipse.R) and presented in ggplot2 in R.

Page 2: Figure S1. Raw output of PCA clustering of tissues. A Two · 2016. 3. 8. · Figure S1. Raw output of PCA clustering of tissues. A: Three significantly separated clusters of total

Figure S2. Expression profile of gastrointestine related keratin genes. Keratin genes are selected based on their average count per million values in gastrointestinal tissues > 3.

Page 3: Figure S1. Raw output of PCA clustering of tissues. A Two · 2016. 3. 8. · Figure S1. Raw output of PCA clustering of tissues. A: Three significantly separated clusters of total

Figure S3. Clustering of transporter genes. Genes in boxes are assigned with sheep clusters as shown in table S1.

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