Course unit, curriculum year 2023–2024
BBT.BI.203
High-throughput Sequencing Data Analysis, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Course code
BBT.BI.203Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level 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 %
Contents:
Characteristics of sequencing data
Quality control
High-throughput count data modeling
MDS, tSNE, UMAP
Data analysis pipeline design
Common state-of-the-art algorithms for data analysis, for a variety of data types
Basic approaches for data integration
Introduction to systems biology
Network modeling
Design of high-throughput experiments
Learning outcomes
Compulsory prerequisites
Learning material
Equivalences
Studies that include this course
Completion option 1
Participation in teaching
10.01.2024 – 06.05.2024
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)