Bioinformatics in genomics
Summary
You will learn to apply bioinformatics methods for sequence analysis to understand the evolution and function of genome, gene, and protein sequences. During the course, you will be introduced to the basics of the Python programming language and independently sequence and analyse a bacterial genome. No prior programming knowledge is required.
About
In recent years, sequencing and other large-scale methods for studying biological processes have become increasingly common. This has created a strong demand for expertise in bioinformatics — that is, methods for analyzing large and complex datasets.
In the course Bioinformatics in Genomics, you will receive an introduction to bioinformatic methods and programming. The focus is on applying the methods you learn to analyse and compare DNA sequencing data.
Course Content
Many bioinformatic tools are used in a command-line environment. Therefore, the course includes an introduction to Unix/Bash programming. You will also learn basic Python programming with applications in sequence bioinformatics. We discuss good programming practices, data sharing, and how the quality of databases can affect results.
The course also introduces various sequencing methods and then goes deeper into workflows for the analysis of DNA sequencing data. Emphasis is placed on practical exercises in bioinformatics and programming, as well as on choosing appropriate methods based on the scientific questions.
During the course, you will sequence a bacterial genome and work with your own data. You will use the tools you have learned and draw conclusions about, for example, species identity, antibiotic resistance, and virulence factors.
Programming exercises and a final presentation of your analysis of your own sequencing data constitute the course examination.
Teaching
The course Bioinformatics in Genomics consists of
• lectures
• programming exercises
• a laboratory-based project
• work with your own data. Teaching assistants are available for guidance.
• a presentation where you summarize your analyses and results.
Prerequisites and selection
Entry requirements
For admission to the course, at least 120 credits (or equivalent) in any of the following fields: natural sciences (including mathematics), medicine or pharmacy.
In addition, English proficiency is required to the level of English 6/English Course B from Swedish Upper Secondary School, or be certified by an internationally recognized test, for example TOEFL or IELTS or equivalent.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
After graduation
The course Bioinformatics in Genomics is part of the Master's Programme in Bioinformatics. You can also take it as a stand-alone course.
Facilities
The teaching takes place primarily in Medicinarelängan and in Natrium on Medicinareberget in Gothenburg.
