VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Abstract
In this lecture, an introduction into main bioinformatics algorithms is provided. We will discuss both "classical" topics such as Hidden Markov Models, Markov chains, phylogenetic trees and "modern" approaches based on sophisticated (deep) learning models.
Objective
Students can understand the main algorithmic design principles for problems like sequence alignment, motif finding and phylogenetic inference. Further, students get an overview of modern machine learning methods and their applications to bio-medical problems.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Bioinformatics Algorithms (University of Basel)
**Course at University of Basel**
Students need to register with the University of Basel for this course!
|
No time listed | 3 h weekly |
Offered In
-
Computational Biology and Bioinformatics Master (More information at: )
-
Core Courses (Please note that the list of core courses is a closed list. Other courses cannot be added to the core course category in the study plan. Also the assignments of courses to core subcategories cannot be changed. Students need to pass at least one course in each core subcategory. A total of 40 ECTS needs to be acquired in the core course category.)
-
Bioinformatics (Please note that all Bioinformatics core courses are offered in the autumn semester)
-
-