• Plan 2016-2017
  
• Intro to computational biology

• https://goo.gl/F9iwL

• Introduction to algorithms

• Molecular biology concepts

Molecular Phylogenetics

• PART I

• https://goo.gl/et8tyU

• PART II

• https://goo.gl/7ZjmXC

• PART III

• https://goo.gl/seoIDo 

Sequence Alignment

• Pairwise Alignment

• Multiple Sequence Alignment
  

Graphs and genetics

• Graphs and genetics I
• Graphs and genetics II

Probabilistic models

• Probabilistic_models_I
• Probabilistic_models_II

String matching

• Motif finding
• Suffix trees
  
  

Unsupervised Learning

• Clustering and Biclustering
• Example 

Supervised Learning

• Decision tree and Neural networks
• Naive Bayes
• Naive Bayes_2
• SVMs

Exercises

• Exercises - Machine Learning
  

Attachments

• ML_BC_execises.pdf
• Naive-Bayes.pdf
• Supervised_Learning.pdf
• BC_exercises.pdf
• Modelos_prob_2.pdf
• suffix-trees.pdf
• Modelos_prob_1.pdf
• graphs_genetics_2.pdf
• graphs_genetics_1.pdf
• clustering_biclustering.pdf
• clustering_biclust_example.xlsx
• motif_finding.pdf
• SupportVectorMachines.pdf
• intro_comp_biology.pdf
• Naive-Bayes_2.pdf
• algorithms.pdf
• PLANO_BC_2016-2017_final.pdf
• Ch06_MultAlign.pdf
• pairwise_alignment.pdf
• Ch03_Molecular_Biology_short.pdf