Computational Biology and Biological Physics
Organisational unit: Division
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.
Recent research outputs
Victor Olariu & Peterson, C., 2019, In : Wiley interdisciplinary reviews. Systems biology and medicine. 11, 1, p. e1424
Research output: Contribution to journal › Review article
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Quantitative analysis of auxin sensing in leaf primordia argues against proposed role in regulating leaf dorsoventralityBhatia, N., Åhl, H., Henrik Jönsson & Heisler, M. G., 2019, In : eLife. 8, e39298.
Research output: Contribution to journal › Article