ECS 124: Fundamental Algorithms in Bioinformatics
ECS 124: Fundamental Algorithms in Bioinformatics (UC Davis). Instructor: Professor Dan Gusfield. This course covers fundamental algorithms for efficient analysis of biological sequences and
for building evolutionary trees. This is an undergraduate course taught by UC Davis computer science professor Dan Gusfield focusing on the ideas and concepts behind the most central algorithms in
biological sequence analysis. Dynamic Programming, Alignment, Hidden Markov Models, Statistical Analysis are emphasized.
The videos were mostly made in 2002 and edited and somewhat extended in 2014. Despite their age, and despite the fact that "software, databases, websites, and data" in bioinformatics change rapidly,
the topics included are still of current importance.
| Lecture 04 - Extending the Model of Sequence Similarity |
Review of the definition of sequence similarity and extensions of the model for greater biological fidelity. Introduction to parametric sequence alignment.
Go to the Course Home or watch other lectures: