Center for Computational and Theoretical Biology

CCTB

Welcome to the CCTB

Biology has become a quantitative science, and one of its most important challenges is the extraction of new insights from large datasets. The mission of the CCTB is the development and application of new approaches for big data analysis, image processing and modeling of complex biological processes.

> About the CCTB > Brief history

Contact: cctb@uni-wuerzburg.de

Center for Computational and Theoretical Biology
Klara-Oppenheimer-Weg 32
Campus Hubland Nord
97074 Würzburg

Research Groups

The CCTB is part of CAIDAS, the data science node of the Bavarian network of AI. We develop and apply AI-related methods in biological research: AI@CCTB

Teaching

Outreach

Data Crunch Cup

Events

Jan 08

CCTB Seminar (BMD)
Master Defense: Classification of PET/CT scans of prostate cancer patients using deep learning
Marko Korb

Jan 22

CCTB Seminar (Visitor)
tba
Oskar Hagen

Jan 29

CCTB Unseminar (CSI)
Prompt engineering for GPTs
Sabine Fischer

News

No news available.

Selected Publications

Inference of alveolar capillary network connectivity from blood flow dynamics. Schmid, Kerstin; Olivares, Andy L.; Camara, Oscar; Kuebler, Wolfgang M.; Ochs, Matthias; Hocke, Andreas C.; Fischer, Sabine C. In American Journal of Physiology-Lung Cellular and Molecular Physiology. American Physiological Society, 2024.
Recognition and reconstruction of cell differentiation patterns with deep learning. Dirk, Robin; Fischer, Jonas L.; Schardt, Simon; Ankenbrand, Markus J.; Fischer, Sabine C. In PLOS Computational Biology, 19(10), bll 1–29. Public Library of Science, 2023.
Novel integrative elements and genomic plasticity in ocean ecosystems. Hackl, Thomas; Laurenceau, Raphaël; Ankenbrand, Markus J.; Bliem, Christina; Cariani, Zev; Thomas, Elaina; Dooley, Keven D.; Arellano, Aldo A.; Hogle, Shane L.; Berube, Paul; Leventhal, Gabriel E.; Luo, Elaine; Eppley, John M.; Zayed, Ahmed A.; Beaulaurier, John; Stepanauskas, Ramunas; Sullivan, Matthew B.; DeLong, Edward F.; Biller, Steven J.; Chisholm, Sallie W. In Cell, 186(1), bll 47–62.e16. Elsevier, 2023.
Temporal environmental variation imposes differential selection on both genomic and ecological traits. Leidinger, Ludwig; Vedder, Daniel; Cabral, Juliano S. In Oikos, 130, bll 1100–1115. 2021.
Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions. Peters, Marcell K.; Hemp, Andreas; Appelhans, Tim; Becker, Joscha N.; Behler, Christina; Classen, Alice; Detsch, Florian; Ensslin, Andreas; Ferger, Stefan W.; Frederiksen, Sara B.; Gebert, Friederike; Gerschlauer, Friederike; Gütlein, Adrian; Helbig-Bonitz, Maria; Hemp, Claudia; Kindeketa, William J.; Kühnel, Anna; Mayr, Antonia V.; Mwangomo, Ephraim; Ngereza, Christine; Njovu, Henry K.; Otte, Insa; Pabst, Holger; Renner, Marion; Röder, Juliane; Rutten, Gemma; Schellenberger Costa, David; Sierra-Cornejo, Natalia; Vollstädt, Maximilian G. R.; Dulle, Hamadi I.; Eardley, Connal D.; Howell, Kim M.; Keller, Alexander; Peters, Ralph S.; Ssymank, Axel; Kakengi, Victor; Zhang, Jie; Bogner, Christina; Böhning-Gaese, Katrin; Brandl, Roland; Hertel, Dietrich; Huwe, Bernd; Kiese, Ralf; Kleyer, Michael; Kuzyakov, Yakov; Nauss, Thomas; Schleuning, Matthias; Tschapka, Marco; Fischer, Markus; Steffan-Dewenter, Ingolf. In Nature. 2019.
Natural allelic variation of the AZI1 gene controls root growth under zinc-limiting condition. Bouain, Nadia; Satbhai, Santosh B.; Korte, Arthur; Saenchai, Chorpet; Desbrosses, Guilhem; Berthomieu, Pierre; Busch, Wolfgang; Rouached, Hatem. In PLOS Genetics, 14(4), bll 1–23. Public Library of Science, 2018.