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The Salzman lab is primarily a statistical and computational biology data science laboratory. Scientific inference is focused on studying RNA biology regulation, single cell genomics and spatial transcriptomics with a secondary focus on novel experimental design to enable statistical analysis of RNA expression. For example, we develop new data science methods to analyze the mechanism and function of gene expression and RNA splicing. We have active statistical work in the area of microbial genomics including inference on novel mechanisms of genetic adaptation in virus' and bacterial.
statistical computational biology focusing on splicing, cancer and microbes