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
BIOI4440 Biological Data Analysis with R 5 ECTS
Organised by
Bioinformatics
Person in charge
Matti Nykter
Planned organizing times
Period(s) I II III IV
2013–2014 X

Learning outcomes

The purpose of this course to teach R statistical environment to be applied to biological data analysis. After this course, the students will be able to use R for analyzing diverse data types from very different biological experiments. Lectures will introduce the theoretical aspects of the introduced methodologies, and after that, students will have opportunity to explore the practical ways of performing the analyses by obligatory homework exercises. After taking the couse a student can implement basic models of biosystems.

Contents

1. Introduction to R
2. Sequences and sequence analysis
3. Annotating gene groups
4. Phylogenetics with R
5. Genome-Wide Association Studies
6. Proteomics and Networks

Teaching methods

Teaching method Contact Online
Lectures 20 h 0 h
Independent work 14 h 0 h

Independent work by following the provided instructions. Work and learning must be documented by Moodle postings.

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Participation in classroom work
  • In English
Exercise(s)
  • In English
Written exam
  • In English
English:
Participation in classroom work and Exercise(s) and Written exam

Evaluation

Numeric 0-5.

Recommended year of study

1. year spring

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