The Verhaak Lab

Predictive Cancer Models Using Patient-Derived Xenograft Mice

PDX tumor models retain much of the biological diversity and heterogeneity of the original patient tumor. Advances in the development of...

Leverages genomic technologies to investigate brain tumor biology and disease evolution.

Brain tumors, sequencing, computational biology.

Deploys next-generation sequencing techniques to understand brain tumor biology and telomere mechanics

Computational analysis of high throughput sequencing data to improve our understanding of tumor biology and evolution.

JAX's Cancer Center designation has been renewed for the 34th year by the National Cancer Institute.

Working in the comparative oncology field to study spontaneous development of glioma in Canis familiaris or dogs with emphasis on...

Professor Roel Verhaak, Ph.D., is focused on the analysis of cancer genomics data to improve our understanding of cancer...

Employs genomic and computational approaches to investigate how the immune response shapes brain tumor development.

JAX Professor Roel Verhaak has thoroughly analyzed sporadic canine gliomas and found that their molecular characteristics, including gene...

A team including JAX Professor Roel Verhaak, Ph.D., investigated genes implicated in self-renewal and therapy resistance in glioblastoma...

Integrates biomechanical and genomic approaches towards the analysis of brain tumor heterogeneity and disease evolution.

Postdoctoral Associate Eunhee Yi has been awarded a $100,000 fellowship from the American Brain Tumor Association to discover how...

New research is providing a better understanding of the processes underlying cell-to-cell differences within glioblastoma tumors — a...

Professor Roel Verhaak is analyzing genomic data sets from human and canine brain tumors to solve the mystery of why cancer...