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-vorstand@lists.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

Sep 25

CCTB Summer School
Tissue Networks - from Imaging to Quantification and Modeling

Sep 29

Lan party
Games and food

Okt 25

Antrittsvorlesung: Chaitanya Gokhale
Chaitanya Gokhale

Selected Publications

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 (2023). 186(1) 47–62.e16.
Temporal environmental variation imposes differential selection on both genomic and ecological traits Leidinger, Ludwig; Vedder, Daniel; Cabral, Juliano S. in Oikos (2021). 130 1100–1115.
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).
Mouse ICM organoids reveal three-dimensional cell fate clustering Mathew, Biena; Muñoz-Descalzo, Silvia; Corujo Simon, Elena; Schröter, Christian; Stelzer, Ernst H.K; Fischer, Sabine C. in Biophysical Journal (2019). 116 127–141.
Automated classification of synaptic vesicles in electron tomograms of C. elegans using machine learning Kaltdorf, Kristin V; Theiss, Maria; Markert, Sebastian M; Zhen, Mei; Dandekar, Thomas; Stigloher, Christian; Kollmannsberger, Philip in PLoS one (2018). 13(10) e0205348.
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 (2018). 14(4) 1–23.