Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived Curricula Guide 2013–2014
Curricula Guide is archieved. Please refer to current Curricula Guides
BIOI4230 Phylogenetics 4 ECTS
Organised by
Bioinformatics
Person in charge
Csaba Ortutay
Preceding studies
Compulsory:

General description

Phylogenetics is the taxonomical classification of organisms based on how closely they are related in terms of evolutionary differences.

Learning outcomes

The course will familiarize students with different phylogenetics algorithms and practical software applications for biological problems. They will be able to create phylogenetic trees from multiple sequence alignments choosing a suitable method for the biological problem. They will be able to interpret different kinds of phylogenetic trees and cladograms which are used most frequently in scientific publications.

Contents

1. Introduction and background
2. Characters and parsimony
3. Distance based methods, maximum likelihood
4. Bootstrap trees and consensus trees
5. Bayesian methods
6. Programs and examples

Teaching methods

Teaching method Contact Online
Lectures 20 h 0 h

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Written exam
  • In English
Exercise(s)
  • In English
English:
Written exam and Weekly Exercises

Lectures plus independent home work assignments.

Evaluation

Numeric 0-5.

Recommended year of study

2. year autumn

Study materials

Lecture notes and other material provided by the teacher.

Further information

Organization Responsible: Tampere IBT

Belongs to following study modules

Department of Future Technologies
Department of Future Technologies
Department of Future Technologies
2013–2014
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Department of Future Technologies
DP in Computer Science
DP in Electr. and Communication Technology
Finnish Study Modules