
CanSys is tool that quantifies the contributions of germline and somatic alterations to biological pathway-level disturbances in individual cancer samples. It annotates Variant Call Format (VCF) files with Combined Annotation Dependent Depletion (CADD) scores, calculates gene-level impact scores using CADD and Cancer Dependency Map (DepMap) scores, and maps affected genes onto biological pathways using specified databases (GO and KEGG). We also offer a web-based application cansysplot that allows users to analyze and interactively visualize pathway disturbances in networks. Additionally, the application facilitates the visualization of disturbance networks using data derived from The Cancer Genome Atlas (TCGA). If you use the CanSys tool in your research, please cite: Dai, J., Posta, M., Marczyk, M. et al. Functional germline variants together with somatic mutations alter the integrity of cancer hallmark regulatory networks. Genome Med (2026). https://doi.org/10.1186/s13073-026-01644-8
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
