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16s images classification #2

@gsvgit

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@gsvgit

Secondary structure of some sequences may contains information for classification, but stable metric for secondary structure of sequences with mutation is a problem. Images processing deals with noisy data and we want to use image classification techniques for 16s classification.

We can draw secondary structure of 16s, but images are very specific (presented in attachment). It is necessary to choose "the best" method for such images classification.
For basic experiments:

Examples of pictures:
ciib01000023 4139 7040
cmon01000010 50534 53692

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