Qingguo Wang, Ph.D.
Professor, Computer Science and Data Science
The focus of the genomics lab is to develop novel next-generation sequencing methods to identify genomic aberrations that cause disease or drug resistance and use our expertise to serve Meharry and the broader scientific community. An open-source tool Dr. Qingguo Wang developed in the past is VirusFinder, which is the first fully automatic software for characterizing integration sites of undiagnosed viruses of arbitrary types through sequencing data. VirusFinder together with our other software have greatly empowered the ability of scientists to investigate the etiologic association of genomic aberrations with complex human diseases. Below is a schematic illustration of how VirusFinder works.
We are currently accepting inquiries for student research. Contact Dr. Wang at email@example.com for more information.
Research Capacity Core
2022 – 2027
- National Institutes of Health
The Artificial Intelligence / Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Coordinating Center Administrative Core
- National Science Foundation
MRI: Acquisition of a High-Performance Computer System to Support Research and Training in Computational Biology and Data Science at Meharry Medical College
2021 – 2024
- Q. Wang*, V. Gupta, A. Cao, A. Singhal, T. Gary, S. E. Adunyah (2023) A Case Study of Enhancing Data Science Capacity of an RCMI Program at a Historically Black Medical College. International Journal of Environmental Research and Public Health, 20 (6): 4775.
- C. S. Awad, Y. Deng, J. Kwagyan, A. Roche-Lima, P. B. Tchounwou, Q. Wang, M. Y. Idris (2022) Summary of Year-One Effort of the RCMI Consortium to Enhance Research Capacity and Diversity with Data Science. International Journal of Environmental Research and Public Health, 20(1): 279.
- Q. Wang*, A. Cao, V. Gupta, A. Singhal, T. Gary (2022) Data Science to Enhance Research Capacity of a Research-Intensive Medical College. 2022 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 2151-2152.