Course English 5 ECTS

Applied Computational Biology

Chemistry, and Science education background concept. 3D illustration.

Are you ready to explore the latest advancements in computational molecular biology?

Join our one-week course covering state-of-the-art methods in computational molecular biology. Topic areas include research in cutting-edge biotechnology sequencing data types, biosustainability, medical genomics, deep learning models for molecular data and large-scale genome sequence analysis methods. Get hands-on experience, learn from recent research, and showcase your skills through project presentations and a small number of assignments.

Course topics:

Day 1 – Computational molecular biology: challenges and methods

Day 2 – Third-generation sequencing (long-read and single-cell) and analyses methods

Day 3 – Strain design: methods and applications in sustainability

Day 4 – Graph-based methods for genomics in diverse applications

Day 5 – Rewriting genomes, spatial technologies and data science

For more details on scope, form and exam please see DTU course base.

This course will be offered in a hybrid format. Please indicate your preference by specifying whether you would like to enroll in the in-person or online option.

Learning outcomes

After the course, you will be able to:

  • Understand data characteristics in molecular genomics at DNA, RNA, proteins and regulatory level.
  • Possess tricks to integrate and process multiple data types (for example, in cancer genomics, sustainability).
  • Make use of data integration strategies using deep learning and/or basic algorithm techniques.
  • Make applications in the real-world in engineering strains for bio-based chemical production.

Who should attend?

The course is tuned to a wide range of audiences from industry and academia in the life science sector to understand, critique, communicate and make informed decisions to quantitatively assess and improve bio-based products and technologies’ economic and environmental sustainability performance.

This course is especially beneficial for professionals with background, skills, or experience in the following areas:

  • Natural scientists from different field of expertise.
  • Engineering, agro-science, and production disciplines from design, planning, R&D, and operations
  • Postdocs and senior scientists who want to update themselves in a sustainability assessment 
  • Non-scientific professionals from administration, finance, sales, or other non-technical disciplines, seeking a thorough understanding of sustainability and assessment tools.


Basic knowledge in bioinformatics, data science, statistics or algorithms.

Important information 

Here you will find important information for short course participants regarding cancellation policies, location and waitlist policies.

Fee and registration 

Fee: DKK 15,000

To register for the course please click “Add to basket”.

Further information will be provided for PhD students’ registration.

If you have any inquiries regarding registration as a PhD student, please send an email to Shilpa Garg ( and Seungmi Nam (

Discount for start-ups and academics

We offer employees in start-up companies, educational institutions and the public sector a 25% course fee reduction. Tick off the relevant boxes in the registration form to apply for this discount. You will get to the registration form when adding the course to the basket.

Companies wishing to arrange a tailored/private course are more than welcome to contact us to discuss this opportunity.

The FBM initiative – funded by the Novo Nordisk Foundation

This course was developed in the framework of the Fermentation Based Biomanufacturing Initiative, in collaboration between DTU Bioengineering, DTU Biosustain, and DTU Chemical Engineering. The project is funded by the Novo Nordisk Foundation.

Course instructor



27-31 May 2024


DTU Lyngby Campus




15.000,00 DKK