Bioinformatics: DNA Sequencing Informatics I

The course focuses on the essential techniques and methods for analysing DNA sequencing data. You'll learn how to process, map, and interpret raw data from next-generation sequencing (NGS) technologies.

Whether you aim to analyze genomic data for research, diagnostics, or evolutionary studies, this course equips you with the tools and understanding. From basic bioinformatics workflows to troubleshooting complex sequencing challenges, this course bridges theory with practice.

Join this course to build a strong foundation in DNA informatics and gain skills that are highly valued in academia and the industry.

Dive deep into the world of sequencing data. The course combines lectures, practical labs, and group assignments to provide a well-rounded learning experience. You’ll work with real-world data, learning to:

• Perform quality control on sequencing reads
• Map DNA sequences to reference genomes
• Detect genetic variants and interpret their significance
• Explore downstream analyses, such as functional annotation and data visualisation.

Expect hands-on training in state-of-the-art bioinformatics tools and pipelines, with assignments designed to simulate real-life research scenarios. Evaluations include coding tasks, group projects, and applied problem-solving.

This course prepares you for advanced research in genomics, medical genetics, and evolutionary biology. You’ll gain a foundation for careers in biotechnology, bioinformatics, and personalised medicine.

Upon completing this course, you can pursue further studies in genome assembly, RNA sequencing, or comparative genomics. Whether in academia or industry, your expertise in DNA sequencing informatics will set you apart in this rapidly evolving field.

Prerequisites

For admission to the course, BINP11 Bioinformatics and Sequence Analysis 7.5 credits is required and knowledge corresponding to BINP16 Programming in Python 7.5 credits, BIOS13 Modelling of Biological Systems 7.5 credits, as well as BIOS14 Processing and Analysis of Biological Data 7.5 credits. English B/6.

Selection criteria

Seats are allocated according to: ECTS (HPAV): 100 %.

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

• The European Union (EU)
• The European Economic Area (EEA) and
• Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 21,250
First payment: SEK 21,250

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Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.