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 2016–2018
Curricula Guide is archieved. Please refer to current Curricula Guides
Curricula Guides » Faculty of Science and Engineering » Department of Future Technologies
BIOI2080 Introduction to Bioinformatics 3 ECTS
Organised by
Bioinformatics
Preceding studies
Recommended:
BIOI2210 Introduction to Molecular Biology or similar basic knowledge of nucleic acids, genes and proteins OR first half of BIOI2201 Introduction to Molecular Bioscience

Learning outcomes

After completing this course the student can: find, retrieve and analyze data from major bioinformatic databases; evaluate critically the analysis results; visualize genomic data in a genome browser; construct multiple sequence alignments; explain the concepts of pathway enrichment and term enrichment in gene lists and perform enrichment analyses; and describe the meaning of background/reference gene sets in enrichment analysis.

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

Self-study and assignments in Moodle. Project work.

Teaching language

English

Modes of study

Self-study (estimated 20h), six weekly assignments (estimated 30h) and a larger project in the end (estimated 30h). The assignments and project are documented in written reports which are submitted in Moodle and evaluated by the tutors.

Evaluation and evaluation criteria

Numeric 0-5.
Your grade is decided by the report of your final project.

Recommended year of study

1. year autumn

Study materials

Course material on the Internet.

2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
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