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

Integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure

HSA is a flexible tool that can jointly analyze multiple contact maps from Hi-C experiments to infer the 3D chromatin structure of the genome.

Citation: Zou C, Zhang Y, Ouyang Z. (2016) HSA: integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure. Genome Biology, 17:40.

Visit HSA

Research HighlightMarch 20, 2020
JAX bites back at dog cancer, with surprising results!
Jackson Laboratory professor Dr. Roel Verhaak performed a study of cancer in dogs, looking for symptoms and cause of dog cancerous tumors on dogs, and in doing so, found some surprising connections to cancer in people.
- Cancer/Tumors
- Cancer
Press ReleaseMarch 17, 2020
NSF CAREER award to Beth Dumont of JAX
Prestigious five-year grant funds evolutionary genomics research, educational outreach.
- Genetic Tools
- Genetics and Genomics
Press ReleaseMarch 10, 2020
Serving the needs of the biomedical research community
JAX receives $6.1M, 5-year NIH grant for laboratory mouse resource program.
- Genetic Tools
- Resource Development and Dissemination
Search MagazineMarch 04, 2020
Overcoming breast cancer chemotherapy resistance
The National Cancer Institute has awarded Jackson Laboratory cancer researcher Gary Ren a five-year grant totaling $1,946,663 to study how chemotherapy-induced changes in the lung stroma foster the growth of metastatic breast tumor cells in the lung.

Research HighlightMarch 18, 2020
Raising the bar for PDX model cancer research
The results of a new PDXNet consortium study provide a key validation toward translating xenograft findings into clinical treatments for cancer patients.
Press ReleaseMarch 11, 2020
The gene lexicologist
ISCB honors JAX Professor Judith Blake for outstanding contributions to biology
- Genetic Tools
- Computational Biology
Press ReleaseMarch 10, 2020
Sheng Li named an AACR NextGen Star
Jackson Laboratory (JAX) Assistant Professor Sheng Li, Ph.D., was chosen as a 2020 NextGen Star by the American Association for Cancer Research (AACR). She is one of 12 early-career cancer researchers recognized for their outstanding work and future potential.
Blog PostMarch 04, 2020
Building in silico research models to accelerate discovery
Machine learning and deep learning in particular have a growing influence on everything from how we shop to how we drive—or are driven by self-driving cars. Anshul Kundaje, Ph.D., assistant professor of genetics and computer science at Stanford University, is using similar tools to study large-scale computational regulatory genomics.