Project B7

Predicting the constrained evolution of tumors

Andreas Beyer, U Cologne | web | email

This project takes a systems-biology modelling approach to tumor evolution, based on tissue-specific genomic and epigenetic factors influencing mutation rates. Combined with selection estimates from molecular network and pathway data, this project will predict the tissue-specific likelihood of mutations driving tumor evolution.

Predictability in Evolution

Collaborative Research Center 1310


Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers

Guo T., Li L., Zhong Q., Rupp N.J., Charmpi K., Wong C.E., Wagner U., Rueschoff J.H., Jochum W., Fankhauser C.D., Saba K., Poyet C., Wild P.J., Aebersold R., Beyer A., Life Science Alliance, 29. May 2018,

regNet: an R package for network-based propagation of gene expression alterations

Seifert M., Beyer A., Bioinformatics Volume 34 Issue 2:308–311, 15. January 2018,

Detection of COPB2 as a KRAS synthetic lethal partner through integration of functional genomics screens

Christodoulou E.G., Yang H., Lademann F., Pilarsky C., Beyer A., Schroeder M., Oncotarget 8:34283-34297, 10. March 2017,