The Li Lab
Assessing the performance of next-generation sequencing techniques in accurate genome/epigenome/transcriptome profiling and understanding the clinical and functional role of epigenome heterogeneity in the cancer evolution.
Principal Investigator
Location
Connect
Topics
Our research focus
Algorithm development and integrative mining from high-throughput sequencing data to determine how somatic mutations alter the blood cancer epigenome and gene regulation in the context of aging, and lay the foundation for crafting future epigenetic therapeutic and preventative strategies.
-
Featured ArticleOctober 24, 2023Applying AI and machine learning to complex research tasks
JAX researchers are at the forefront of developing and implementing AI-based technologies for a variety of research applications. -
Research HighlightJanuary 12, 2021Few mutations, important difference in cancer cells
JAX Professor Sheng Li, Ph.D., presents a tool, epihet, that automates the epigenetic analysis of AML cells. epihet allows researchers to assess epigenetic differences between cells, identify genomic locations where the differences occur, and associate cellular epigenetic profiles with cancer-related biological function.
-
Profile StoryNovember 09, 2021Using next-gen technology to explore how aging raises the risk for leukemia
JAX's Sheng Li is exploring how aging raises the risk for leukemia, and works to improve cutting edge tools for data analysis. -
Research HighlightJune 17, 2020New research reveals the role of epigenetic dysfunction in blood cancer
A new discovery by JAX cancer researcher Sheng Li points to the possibility of new lymphoma treatments that would restore the protective effect of TET2 in tumors where it has been mutated.