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Course unit, curriculum year 2020–2021
BTK6004
High-throughput Sequencing Data Analysis, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)
Course code
BTK6004Language of instruction
EnglishAcademic year
2020–2021Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Juha KesseliResponsible organisation
Faculty of Medicine and Health Technology 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
Lectures, exercises and project work.
Participation in teaching
13.01.2021 – 23.05.2021
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)