Takes sequences, a tree and a column statistic as input,
and generates a short sequence quality output string, which
will be stored into the database under a user defined key.
First the sequences are split into different subsequences:
2 pieces: front and back half
5 equally sized pieces: user defined sized pieces.
The programs sums up the weighted mutations for each sequence
part using a maximum likelihood technique.
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