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
BIOI4450 High Throughput Data Analysis 5 ECTS
Organised by
Bioinformatics
Person in charge
Matti Nykter
Planned organizing times
Period(s) I II III IV
2013–2014 X
Preceding studies
Compulsory:

Learning outcomes

After the course, the student can:
- compare sequencing and microarray technologies used in high-throughput analysis and choose suitable ones for the analysis required.
- explain the principles of measurement technologies covered and how various inherent errors and biases of the measurement techniques affect the analysis.
- apply common methods and algorithms to extract information from microarray and sequencing measurements.
- discuss the statistical principles underlying the data analysis methods above and identify the benefits and weaknesses of each method.
- select suitable algorithms for the analysis and justify the choice.
- build data analysis pipelines for microarray and sequencing data analysis.

Contents

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

Teaching method Contact Online
Lectures 20 h 12 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