Skip to main content
You are browsing the curriculum of a past academic year (2019–2020).
Do you want to change to the ongoing academic year?
Course unit, curriculum year 2019–2020
BTK6002

Introduction to high-throughput data analysis, 5 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2019–20.10.2019)
Course code
BTK6002
Language of instruction
English
Academic year
2019–2020
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 %
  • 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

  • Basic image analysis

Learning outcomes
Prerequisites
Recommended prerequisites
Learning material
Studies that include this course
Completion option 1
Lectures, exercises and project work.

Participation in teaching

28.08.2019 16.10.2019
Active in period 1 (1.8.2019–20.10.2019)