Introduction to High-throughput Data Analysis, 5 cr

Tampere University

Teaching periods

Course code

BBT.BI.201

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 %

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.

29.08.2023 – 17.10.2023