Computational Challenges in Bioinformatics
Week 07: hidden Markov models
Solve the exercises of the HMM track on Rosalind. In the mean time, we will convert these exercises to Dodona with newly generated test cases and sometimes with some slight modifications to the problem statement. 24 hours before the deadline (next lecture) you will receive an email with the exercise whose solution you’ll have to present in class. You might find some inspiration about using HMM in the following Jupyter Notebook demos:
| Titel | Voortgang groep | ||
|---|---|---|---|
| Probability of a hidden path | |||
| Probability of an outcome given a hidden path | |||
| Viterbi decoding | |||
| Outcome likelihood |