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Course unit, curriculum year 2019–2020
BTK6004
High-throughput sequencing data analysis, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2020–1.3.2020)
Active in period 4 (2.3.2020–31.5.2020)
Course code
BTK6004Language of instruction
EnglishAcademic year
2019–2020Level 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
Data analysis pipeline design
Common state-of-the-art algorithms for data analysis
Basic approaches for data integration
Introduction to systems biology
Network modeling
Design of high-throughput experiments
Learning outcomes
Compulsory prerequisites
Learning material
Studies that include this course
Completion option 1
Lectures, exercises and project work.
Participation in teaching
08.01.2020 – 29.04.2020
Active in period 3 (1.1.2020–1.3.2020)
Active in period 4 (2.3.2020–31.5.2020)