Dawei Li, Ph.D.
Associate Professor, Biomedical Science
777 Glades Road
Boca Raton, FL 33431
PS 55, Room 347
Dawei Li, PhD, was trained in genomics and bioinformatics. His previous genetic research has led to identification of a number of disease-associated genes, particularly in psychiatric, behavioral, and addictive disorders. His recent focus is myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). ME/CFS is a multi-system disease involving the immune system and brain. No diagnostic biomarkers, FDA-approved treatment, nor cure exists for ME/CFS. The cause of ME/CFS is unknown.
Dr. Li’s research goal is to develop and maintain a multi-omics program involving bioinformatics development, genetic risk discovery, and translational medicine into diseases, particularly ME/CFS. Dr. Li’s lab develops innovative methods, software, and applications. For example, they have developed new methods to genotype genome-wide individual transposable element variants. His lab also developed the first method to detect virome-wide viral integrations.
Dr. Li is the Chair of the Genetics and Epigenetics Working Group of the Interdisciplinary Canadian Collaborative Myalgic Encephalomyelitis (ICanCME) Research Network.
- 2001: B.S., Microbiology, Northwest University, China
- 2006: Ph.D., Genetics, Shanghai Jiao Tong University, China
- 2008: Postdoctoral Associate, Statistical Genetics, Rockefeller University, New York City, NY
- 2012: Associate Research Scientist, Genomics and Bioinformatics, Yale University, New Haven, CT
- 2012-2020: Assistant Professor, Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT
- 2021-present: Associate Professor, Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL
- 2021-present: Director of Genomic Medicine, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL
- Chen X, Kost J, Sulovari A, Wong N, Liang WS, Cao J, Li D* . A virome-wide clonal integration analysis platform for discovering cancer viral etiology. Genome Research . 2019 May;29(5):819-830. PMID: 30872350. (* corresponding author).
- Chen X, Li D* . ERVcaller: Identifying polymorphic endogenous retrovirus and other transposable element insertions using whole-genome sequencing data. Bioinformatics . 2019 Oct 15;35(20):3913-3922. PMID: 30895294. (* corresponding author).
- Chen X, Kost J, Li D* . Comprehensive comparative analysis of methods and software for identifying viral integrations. Briefings in Bioinformatics . 2019 Nov 27;20(6):2088-2097. PMID: 30102374. (* corresponding author).
- Sulovari A, Li D* . VIpower: Simulation-based tool for estimating power of viral integration detection via high-throughput sequencing. Genomics . 2020 Jan 10;112(1):207-211. PMID: 30710609. (* corresponding author).
- Mathkar PP, Chen X*, Sulovari A, Li D* . Characterization of hepatitis B virus integrations identified in hepatocellular carcinoma genomes. Viruses . 2021 Feb 4;13(2):245. PMID: 33557409. (* corresponding author).
- Chen X, Li D* . Sequencing facility and DNA source associated patterns of virus-mappable reads in whole-genome sequencing data. Genomics . 2021 Jan;113(1 Pt 2):1189-1198. PMID: 33301893. (* corresponding author).
Other Affiliations or Duties
- National Institutes of Health Center of Excellence on ME/CFS (ICanCME)
- United States Department of Veterans Affairs West Haven Medical Center
- Open Medicine Foundation ME/CFS Collaborative Research Center Montréal
- Chair, Interdisciplinary Canadian Collaborative Myalgic Encephalomyelitis Research Network, Genetics/Epigenetics Working Group
- Steering Committee, Interdisciplinary Canadian Collaborative Myalgic Encephalomyelitis Research Network
- Advisory Board, Foundation for Alcoholism Research Editor, Journal of Bio-X Research (published by Wolters Kluwer)