. Perform hierarchical clustering using all of the data at the top of (see Computational Example 10.1). For characters, first produce a string 60 characters long that represents the consensus...

.
Perform hierarchical clustering using all of the data at the top of

(see Computational Example 10.1). For characters, first produce

a string 60 characters long that represents the consensus sequence for the

regions shown. Then, for each OTU, score each position that agrees with this

consensus 1 and each position that disagrees 0. This character table should

be used as input to the R function dist using manhattan as the method.

The output of dist should be used as the input of hclust, and the output

of hclust should be used as input for plclust to produce the dendrogram.

Does the addition of Pongo change the relationships among the other OTUs?