Exploring cancer genomics
As a computational biologist, my research focuses on understanding the mechanisms of cancer initiation, progression, and prognosis through developing and utilizing computational methods.
My recent research areas include:
- Identifying driver mutation, etiology, mechanism, and heterogeneity in human and mouse cancer genomes
- Ultra-sensitive detection of cancerous and precancerous lesions using somatic mutations
- Developing innovative and integrative open-source computational software for analyzing genomics data
- Accurately interpreting complex genomic variants by haplotype-aware annotations
Current research
Cancer genomics & tumor evolution
Next-generation sequencing (NGS) has become widely accessible in research and clinical laboratories. By using whole-genome, whole-exome and transcriptomes sequencing, we can detect various types of variants.
Ultra-sensitive detection of mutations in tumor and normal tissues
We’ve conducted innovative studies aiming to expand our detection limits to very-low-frequency (<5%) mutations, which are important for cancer early detection and residual disease monitoring.
Tumor-specific neoantigents for immunoprofiling
We designed the Christmas Light Plot (CLP) for easy visualization of identified neoantigens. The CLP incorporates pre-defined criteria for neoantigen prioritization.
Mutational landscapes in preclinical models
Analyses of mouse somatic mutations pose a unique challenge due to the diverse genetic background in GEM and mouse stromal contamination in PDX models.
Bioinformatics Shared Resource
Dr. Wei is co-director of this core science facility.
View Shared ResourceIn the News
Contact the Wei Lab
Email: Lei.Wei@RoswellPark.org
Phone: 716-845-1176
Office location: Research Studies Center (RSC) - R-448B
Lab location: Research Studies Center (RSC) 4th floor
Department of Biostatistics and Bioinformatics
Roswell Park Comprehensive Cancer Center
Elm and Carlton Streets
Buffalo, NY 14263