Course code
old course code
Course title in Estonian
Course title in English
ECTS credits
approximate amount of contact lessons
Teaching semester
Assessment form
lecturer of 2019/2020  Autumn semester
Andreas Halman (eesti keel) tavaline kursus
lecturer of 2019/2020  Spring semester
lecturer not assigned
Course aims
Introduce bioinformatics and its applications. Introduce online bioinformatics databases. Give a basic knowledge of main techniques and methods used in bioinformatics and the ability to conduct a simple analysis. Create algorithms to work with sequencing data and visualise results by using Python and R programming languages.
Brief description of the course
Introduction to bioinformatics. Overview of sequencing technologies. Online databases and their applications. Analysis of genome/exome and RNA-Seq. Proteomics in bioinformatics. Using bioinformatics tools. Principles of Python and R programming languages. Writing simple algorithms for data analysis.
Independent work
Reading compulsory materials.
Learning outcomes in the course
Knowledge about the bioinformatics discipline and its history. Knowledge about the main online bioinformatics databases and their applications. Knowledge about the main methods and tools used in bioinformatics. Ability to write simple algorithms in Python to work with data. Ability to conduct simple statistical analysis and visualise results by using R.

Assessment methods
lektor Andreas Halman, lektor Kairi Koort
Study literature
Bioinformaatika (2015; Remm, M.)
Õppejõu poolt antud materjal

Replacement literature
Bioinformatics. A Practical Handbook of Next Generation Sequencing and Its Applications (2017; Low, L., Tammi, M.)
Bioinformatics Algorithms. Design and Implementation in Python (2018; Rocha, M., Ferreira, P.G.)