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,
. A virome-wide clonal integration analysis platform for discovering cancer viral etiology.
. 2019 May;29(5):819-830. PMID: 30872350. (* corresponding author).
- Chen X,
. ERVcaller: Identifying polymorphic endogenous retrovirus and other transposable element insertions using whole-genome sequencing data.
. 2019 Oct 15;35(20):3913-3922. PMID: 30895294. (* corresponding author).
- Chen X, Kost J,
. 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,
. VIpower: Simulation-based tool for estimating power of viral integration detection via high-throughput sequencing.
. 2020 Jan 10;112(1):207-211. PMID: 30710609. (* corresponding author).
- Mathkar PP, Chen X*, Sulovari A,
. Characterization of hepatitis B virus integrations identified in hepatocellular carcinoma genomes.
. 2021 Feb 4;13(2):245. PMID: 33557409. (* corresponding author).
- Chen X,
. Sequencing facility and DNA source associated patterns of virus-mappable reads in whole-genome sequencing data.
. 2021 Jan;113(1 Pt 2):1189-1198. PMID: 33301893. (* corresponding author).
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