Bioinformatic Workflows for Large-Scale Sequencing Data A1N

Education facts

Code: BI764A

<p class="MsoNormal">In this course, you will learn how to use powerful tools to analyze biological data, such as DNA sequences. You will create your own analysis flows, which are like recipes for processing data in a structured way, and ensure that they work every time by using virtual environments and version control. You will also gain practical experience running analyses on large computer clusters and cloud-based systems, which allows you to handle really heavy calculations without being dependent on a regular computer. This gives you both the technical knowledge and understanding to be able to tackle the big biological questions in today's research world.</p>

Entry requirements

150 approved higher education credits, of which a total of at least 90 credits in one or more of the subjects biology, biomedicine or computer science (or the equivalent). The biological field refers here to programs with a bioinformatics, systems biology, molecular biology or microbiology focus. Of these, at least 15 credits must be at level G2E (or the equivalent). Furthermore, courses of at least 7.5 credits in the subject bioinformatics, 7.5 credits in cell biology and 15 credits in programming (or the equivalent) are required. A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6 or English level 2 (or the equivalent) is required. This is normally demonstrated by means of an internationally recognized language test, e.g.&nbsp; IELTS or TOEFL or the equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Bioinformatic Workflows for Large-Scale Sequencing Data A1N

  University of Skövde

  Skövde

  Start date: 18 January 2027

  End date: 28 March 2027

  Pace of study: 50 %