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 2014–2016
Curricula Guide is archieved. Please refer to current Curricula Guides
BIOI4450 High Throughput Data Analysis 5 ECTS
Organised by
Preceding studies

General description

This course is the continuation of Biological Data Analysis with R, introducing professional methods for analyzing high-throughput data, such as DNA microarray or next-generation sequencing data.

Learning outcomes

After this course the students will be able to analyze high-throughput data from very diverse experiments including microaarray and next generation sequencing data. They will be able to handle and analyze such data, and help experimental scientist in the interpretation. 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. This course will provide the students knowledge about state-of-the-art methodologies and the related data analysis practices.


1. High throughput methods introduction, Flow cytometry
2. HT Genome sequencing: SNPs, CNVs
3. Gene expression: qRT-PCR
4. Gene expression: microarrays
5. Gene expression: RNA-Seq
6. Transcription factor binding: ChIP, ChIP-on-chip, ChIP-Seq

Teaching methods

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

Teaching language


Modes of study

Exercises, project work, exam


Numeric 0-5.

Study materials

Lecture notes and other material provided by the teacher

Belongs to following study modules

Department of Future Technologies
Department of Future Technologies
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
Finnish Study Modules