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GPL-3.0-only licensed by Christian Hoener zu Siederdissen
Parameter training for RNA secondary structure prediction tools
requires data to train on. Since there are a number of
different available formats, and handling them all in the
training tools is a pain, we have this library and programs.
MkTrainingData transforms different formats and they all
produce a common "training data" format. This format is
Haskell-readable (and only partially human-readable)
line-by-line. Generating additional training data is therefor
easy as one can just "cat" together different training files.
Note that several features are designed around extended RNA
secondary structures.
