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Bioinformatics (BIOIN)

The research at the Bioinformatics division is focused on development of methods to analyse and understand biological data.

Bioinformatics is an interdisciplinary research area combining physics, chemistry, and biology with computer science, statistics, and mathematics.

At the unit of Theoretical chemistry, headed by Bo Durbeej, research is carried out with the aim to solve a variety of chemical problems with methods rooted in quantum mechanics and statistical mechanics.

Research at Bioinformatics division

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Translational bioinformatics

Many currently used drugs are ineffective for treating complex diseases. However, modern biology today generates enormous amounts of inexpensive, accurate, high-throughput data (‘omics), at several molecular levels.§
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Theoretical chemistry

Our research in theoretical chemistry mainly focuses on molecular machines, photochemical reaction mechanisms, photosensory proteins, molecular properties and enzyme catalysis.
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Theory and Modelling

Pushing science forward through mathematical modelling and computer simulations.

Doctoral education

tekfak doctoral studies theory modelling natural sciences bioinformatics

Doctoral studies in Theory and Modelling in Natural Sciences

Research within this area has a broad scientific profile, sharing a common core of mathematical modelling, numerical methods and computer simulations.

More about our research

Björn Forsberg

Growing Life science research at LiU

Björn Forsberg is the latest addition to the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). He is now setting up his own research at LiU, creating new methods for analyzing data from cryo-electron microscopes.
Bo Durbeej.

How to shift gears in a molecular motor

Scientists have long strived to develop artificial molecular motors that can convert energy into directed motion. Researchers at LiU have now presented a solution to a challenging problem: a “molecular gear”.
young woman in a wheelchair.

Severe MS predicted using machine learning

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals. The proteins could be used to tailor treatments to the individual based on the expected severity of the disease.

Contact

Head of division

Photo of Björn Wallner

Björn Wallner

Professor, Head of Division
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Emma Ljungkvist

Coordinator

Staff

Staff

Nicholas Debouver
PhD student
Photo of Bo Durbeej
Bo Durbeej
Professor
Photo of Björn Forsberg
Björn Forsberg
Assistant Professor
Photo of Mika Gustafsson
Mika Gustafsson
Professor
Photo of Thomas Hillerton
Thomas Hillerton
Postdoc
Photo of Yogesh Kalakoti
Yogesh Kalakoti
Photo of Malin Larsson
Malin Larsson
Principal Research Engineer
Photo of Lena Lassinantti
Lena Lassinantti
Postdoc
Maria Levkovets
PhD student
Photo of Rafail Lingas
Rafail Lingas
Principal Research Engineer
Photo of Ying Luo
Ying Luo
PhD student
Photo of David Martinez
David Martinez
PhD student
Photo of Claudio Mirabello
Claudio Mirabello
Principal Research Engineer, Docent
Photo of Nicholas Pearce
Nicholas Pearce
Assistant Professor
Photo of Durga Sravanakumar Perumalla
Durga Sravanakumar Perumalla
Photo of Airy Sanjeev
Airy Sanjeev
Postdoc
Photo of Ylva Strid Holmertz
Ylva Strid Holmertz
PhD student
Photo of Björn Wallner
Björn Wallner
Professor, Head of Division
Julia Åkesson
Postdoc

Tejaswi Badam

PhD student

Julia Åkesson

PhD student

Visiting address

Campus Valla, B building and Fysikhuset building

Mail address

Linköping University
IFM
581 83 Linköping

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Department of Physics, Chemistry and Biology (IFM)

Undergraduate teaching and research in the areas of biology, chemistry, materials and applied physics and theory and modelling are conducted at this department.

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