BIOI4464 Bioinformatics Methods 5 ECTS
Organised by
Bioinformatics
Preceding studies
Recommended:
Basic knowledge of DNA and genomes, either from our courses or from previous studies.

General description

This is a mainly hands-on course to learn the use of many bioinformatics methods.

Learning outcomes

After completing this course the student can: find, retrieve and analyze data from major bioinformatic databases, evaluating critically the results; conduct and understand searches based on DNA and protein sequence similarity; construct multiple sequence alignments; and describe the meaning of background/reference gene sets in enrichment analysis. Additionally, the student can infer phylogenetic relationships by constructing phylogenetic trees from sequence alignments and explain the limitations of phylogenetic tree construction.

Contents

A general introduction to key areas of bioinformatics: bioinformatic databases, genomics, DNA and protein sequences, protein structures; theory and practice of the most common computational tools used in bioinformatics.

Teaching methods

Teaching method Contact Online
Lectures
Independent work
Exercises

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Exercise(s)
  • In English
Project / practical work
  • In English

Evaluation

Numeric 0-5.

Recommended year of study

1. year spring

Study materials

Choudhuri, Supratim: Bioinformatics for beginners : genes, genomes, molecular evolution, databases and analytical tools. London : Academic Press, 2014, ISBN 9780124105102, available as e-book in UTU library.

Further information

You cannot take this course for full credit if you have completed BIOI2080 Introduction to bioinformatics.

Belongs to following study modules

Department of Future Technologies
Department of Biochemistry
Department of Biochemistry
Department of Biochemistry
Department of Future Technologies
2016–2017
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
Finnish Study Modules