Bioinformatics 1

Third-cycle level | 2.0 credits | Course code: SC00037
VT 2026
Study period: 2026-01-26 - 2026-02-27
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2025-10-01 - 2025-10-21
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Course description

The course includes a combination of lectures and practical sessions that introduce the analysis of genomic and proteomic data using bioinformatics tools and public databases (such as NCBI, UCSC and ENSEMBL). Including DNA sequence alignment, protein expression analysis and pathway analyses.

The course will be given in English.

Participants are required to bring their own computer with the corresponding administrator rights.

This course is a pre-requisite to take the course Bioinformatics II planned to be given autumn term 2026.

Requirements and Selection

Entry requirements

The course is open for PhD students accepted by a Swedish or international university, in need to process and manage biological data.

In order to apply for the course, you should have:

  • A background in genetics, cell biology, biomedicine, biochemistry, bioinformatics or similar.

Selection

Selection is performed according to the following:

  1. PhD students at Sahlgrenska Academy,
  2. PhD students enrolled at another university within a formal collaborative agreement on doctoral education with Sahlgrenska Academy,
  3. PhD students enrolled at another faculty at the University of Gothenburg or another university in Sweden,
  4. PhD students enrolled at a university outside Sweden.

Other information

Course coordinator: Gwenna Breton, gwenna.breton@gu.se
Course administrator: Zerif Olsen, zerif.olsen@gu.se
Course dates: 26 January - 27 Februari 2026 (sessions: Mondays; self-study: 6-8 hours/week; examination: Friday week 9)

Tentative schedule: please visit the website below

Link to website

https://www.gu.se/en/core-facilities/bioinformatics-and-data-centre-bdc/education-and-training

Course syllabus

SC00037

Department

Core Facilities at Sahlgrenska Academy

Subject

Health Sciences

Type of course

Method course

Keywords

Bioinformatics, Genomics, Proteomics

CONTACTGwenna Breton

gwenna.breton@gu.se