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45401-01 - Lecture: Bioinformatics Algorithms 4 CP

Semester fall semester 2019
Course frequency Every fall sem.
Lecturers Volker Roth (volker.roth@unibas.ch, Assessor)
Content In this lecture, an introduction into main bioinformatics algorithms is provided. Covered topics include Hidden Markov Models, Markov chains, phylogenetic trees, sampling and annealing methods, and methods for sequence alignment.
Learning objectives This lecture provides an introduction into algorithms and concepts that are important in computational biology / bioinformatics. Students can understand the main algorithmic design principles for problems like sequence alignment, motif finding and phylogenetic inference. Further, students are familiar with advanced sampling and annealing methods and their applications in bioinformatics.
Bibliography R. Durbin: Biological sequence analysis
Weblink link to course web page

 

Admission requirements Mathematische Methoden I
Mathematische Methoden II
Einführung in die Statistik
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
Kernfächer und Seminar (Master's Studies: Computational Biology and Bioinformatics)
Modul: Concepts of Machine Intelligence (Master's degree subject: Computer Science)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Applications of Machine Intelligence (Master's Studies: Computer Science)
Assessment format continuous assessment
Assessment details Oral exam
expected date: Wednesday, 18 December and Thursday, 19 December 2019
Room: Office 06.003
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Fachbereich Informatik

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