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Computational Biology and Biological Physics

Faculty of Science / Department of Astronomy and Theoretical Physics
Website: http://cbbp.thep.lu.se/

Phone: +46 46 222 90 76

Fax number: +46 46 222 96 86

Visiting address: Sölvegatan 14 A, 223 62 Lund

Postal address: Sölvegatan 14 A, 223 62 Lund

Computational Biology and Biological Physics' profile in Lund University Research portal

Description

Computational Biology & Biological Physics (CBBP) at Lund University pursues a very broad spectrum of research activities. In particular, CBBP builds models of macromolecules and living systems, and investigates biological processes by applying machine learning and statistical techniques. Examples of problems areas are: protein folding, misfolding and interactions; bionanophysics, e.g., studies of nano-confined DNA; transcriptional regulation, development and stem cell fates; machine learning (e.g., deep neural networks) for medical decision support.

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  • Björn Linse

    Doctoral student

    bjorn [dot] linse [at] thep [dot] lu [dot] se

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  • Daniel Nilsson

    Doctoral student

    daniel [dot] nilsson [at] thep [dot] lu [dot] se

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