This is the repository for the lab module of the Machine Learning for Bioinformatics course as thought in the Spring of 2017. It contains the materials covered in the lab sessions.
Topics
- Computing resources at IU (week 1)
- Introduction to Python (week 2)
- Introduction to R (week 3)
- Hidden Markov Models
- Finding genes with Glimmer (week 4)
- Viterbi algorithm (week 5)
- Multivariate HMMs with ChromHMM (week 6)
- Profile-HMMS with HMMER (week 7)
- Expectation Maximization
- Motif Discovery with MEME (week 8)
- Classification exercises with R (week 11)
- Classification exercises with Python (week 12 - 14)