PetePrattis/Hidden-Markov-Model-for-sequence-state-decoding

A Python script that implements an HMM with two states a and b. When the model is in state a it is more likely to emit purines A and G. When it is in state b it is more likely to emit pyramidines C and T. Decode the most likely sequence of states for the GGCT sequence using logarithmic scoring instead of normal probability scoring.

PythonMIT