Genetics & Gene Therapy

Computational Genetics

Tom LaFramboise’s laboratory both develops and applies being computational methodology to understand the part of the mortal inheritable variation- inherited processes. physical- in the development and line of cancer, as well as the impact of the micro biome on these A particular focus of our department is the use of computational tools to discover new perceptivity into cancer development and treatment. The laboratory of Zhenghe Wang collaborates with others to perform proteomics, genome, epigenetic, transcriptome, and single- cell analyses to understand how oncogenic mutations drive tumorigenesis. Chris McFarland's group designs forward evolutionary simulations of cancer, and analyzes the numerous high- dimensional public datasets (cancer genomic sequencing, multi' osmic, DNA barcoding) using these simulations, machine literacy, and traditional statistical approaches.