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Course unit, curriculum year 2020–2021
BTK6002
Introduction to High-throughput Data Analysis, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2020–18.10.2020)
Course code
BTK6002Language 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 %
UNIX command line environment
Alignment software
Basic tools for working with read data, alignments, annotations and segments
Most common sequencing data types, including DNA-seq, RNA-seq, ChIP-seq, ATAC-seq
Introduction to R environment
Learning outcomes
Prerequisites
Recommended prerequisites
Learning material
Equivalences
Studies that include this course
Completion option 1
Lectures, exercises and project work.
Participation in teaching
25.08.2020 – 08.10.2020
Active in period 1 (1.8.2020–18.10.2020)