Skip to main content
Course unit, curriculum year 2023–2024
BBT.BI.203

High-throughput Sequencing Data Analysis, 5 cr

Tampere University
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.203
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Juha Kesseli
Responsible 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)