Similarity measures
The first Python examples in this chapter involve measuring values for the similarity and
hence conservation of sequences in a multiple alignment. This is achieved by looking at
the various positions of the alignment and how similar the residues are down each column.
This is not necessarily the best way to measure conservation (and consequently the
opposite measure of variability), because the choice of sequences can be subjective and
treating all sequences equally does not account for the expectation in the amount of
change; the more distantly related sequences are as a whole the more change is expected.
Nevertheless if we choose sequences carefully and know that the evolutionary distance
between them is appropriate for the question we wish to ask then this type of analysis is
pertinent, and quicker to perform than many more complex methods.
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