Course unit, curriculum year 2026–2027
BBT.BI.203
High-throughput Sequencing Data Analysis, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2027–7.3.2027)
Active in period 4 (8.3.2027–31.5.2027)
Course code
BBT.BI.203Language of learning
EnglishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Juha KesseliResponsible organisation
Faculty of Medicine and Health Technology 100 %
Coordinating organisation
MET Studies 100 %
Content
Contents:
- Characteristics of sequencing data
Quality control
Bulk and single-cell data
High-throughput count data modeling
MDS, tSNE, UMAP
Data analysis pipeline design
Common state-of-the-art algorithms and statistics for data analysis, for a variety of data types
Basic approaches for data integration
Learning outcomes
Compulsory prerequisites
Learning material
Equivalences
Studies that include this course
Completion option 1
Lectures, exercises and project work.
Participation in teaching
Contact teaching
07.01.2027 – 06.05.2027
Active in period 3 (1.1.2027–7.3.2027)
Active in period 4 (8.3.2027–31.5.2027)