CNApp is a novel and unique web-based software that enables the performance of comprehensive and integrative analysis of genomic copy number alterations to uncover new associations with patient-oriented relevance.

Copy number alteration heterogeneity exists in many shapes and forms in breast cancer genomes and single-cell genomics is a powerful tool to further our understanding of its nature and significance.

SPOP mutations underlie a novel, genomically unstable subclass of prostate cancer by altering DNA repair.

Genome sequencing analysis dissects the origins and evolution of cancer transmission between clam species in the Seas of Southern Europe.

Comprehensive analysis of telomere maintenance from transcriptomic, epigenetic, and loss-of-function profiles of cancer cell lines elucidates features of telomere regulation in cancer.

A comprehensive catalogue of somatic mutations accumulating in MMR-deficient tumors highlights their relevance in the context of human genetic evolution, for the diagnosis of microsatellite instability and the provision of targeted treatment options.

The absence of negative selection observed in most cancer genomes can be explained by the intrinsic genome-wide linkage in somatic evolution and creates a substantial proteotoxic load.

Gene copy number provides more prognostic information than gene mutation status in cancer.

Proteomic and metabolomic analyses reveal how mannose exerts its anticancer activity.

The percentage of a tumor’s genome with alterations in copy number is correlated with increased mortality across a range of tumor types and can be measured using a clinically approved sequencing assay.