HSA: integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure

JAX's Ryan Tewhey brings open-minded inquiry to the search for genetic mechanisms involved in complex traits and disease mechanisms.

A research team at JAX is boosting the speed and accuracy of tumor sample image analysis, for multiple cancer types, offering the potential for more targeted treatment direction without additional testing.

Using sophisticated labeling methods, a team led by Professor Karolina Palucka, M.D., Ph.D., and Jan Martinek, Ph.D., analyzed patient samples of metastatic melanoma for further insight into how cancer cells are able to escape immune response and grow elsewhere in the body.

JAX scientist Vivek Kumar, Ph.D., is using machine learning to automate and improve analysis of mouse behavior and movement. The new methods have already yielded important biological insights, and they may have even more profound implications for research into human diseases such as ALS, Alzheimer’s disease, and even cancer.