Today, the results of our work interpreting the genomes of primary triple negative breast cancers appeared in Nature: “The clonal and mutational evolution spectrum of primary triple-negative breast cancers”. Many many thanks to all of the members of the lab for dedication and hard work on this project.
Welcome!
Our group focuses on research in computational biology and cancer genomics at the BC Cancer Agency in Vancouver BC. We are interested in understanding cancer genomes from the perspective of identifying pathogenic driver alterations and how tumours evolve over time. Our work involves the development of statistical models, algorithms and computational approaches to analyze large, high dimensional genomics and transcriptomic data sets derived from tumours in order to describe mutational landscapes of cancer subtypes and quantify clonal diversity and intratumoural heterogeneity. Much of our work is devoted to analysis and interpretation of next generation sequencing data applied in cancer-focused experimental designs.
Shah Lab, BCCA; L to R: Gavin Ha (PhD cand), Jiarui Ding (PhD cand), Jamie Rosner (bioinformatician), Sanja Rogic (Gascoyne lab alumni), Andrew McPherson (PhD cand), Mike Peabody (alumni), Fong Chan (PhD cand), Ali Heravi-Moussavi (alumni), Reza Haffari (alumni - Monash University), Karey Shumansky (bioinformatician), Ali Bashashati (Research Associate), Sohrab Shah (principal investigator), Andy Roth (PhD cand). Absent Ryan Giuliany (MSc cand)
Some of our recent work is listed below:
