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.
New research shows that silencers modify 3D chromatin organizations to suppress the expression of certain genes at certain time points during development. Disruption of the process can lead to developmental disorders and has also been implicated in certain cancers.
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.
Three-dimensional genomic compartments and sub-compartments help regulate gene expression across the genome. As more data comes out about 3D genomic structures, there is an increasing need to efficiently identify and characterize sub-compartments and their roles in genome function. Sheng Li and her team developed a new computational tool, SCI, that outperforms previously developed algorithms for this purpose.