Our research focuses on the development and application of high-throughput multi-omics technology and machine learning algorithms to analyze genomes, transcriptome, epigenome and cell-free DNA epigenetics. Our goal is to improve the early diagnosis and treatment of various disease, achieving precise individualized treatment.
We develop and apply high-throughput multi-omics sequencing technology and analysis pipelines to study the regulatory networks and noncoding regions of the human genome in various disease conditions, providing an important basis for disease research.
We are interested in developing new non-invasive liquid biopsy methods, combining deep learning and artificial intelligence for individualized treatment. We developed a new method for tumor typing and early diagnosis based on cell-free DNA 5hmC signals.
We are presently in a revolution of the sequencing technology in which new high-throughput sequencing technology can be applied to understand the fundamental biology. Our research focuses on the development and application of third-generation sequencing technology to improve the diagnosis and therapy of human disease.
We are devoted to developing high-throughput and high-resolution single-cell multi-omics sequencing technologies. We use these technologies to study molecular mechanisms of tumorigenesis, tumor development, and drug resistance.