Brown’s Center for Computational and Molecular Biology

Brown University computer scientists have developed a new interactive tool to help researchers and clinicians explore the genetic underpinnings of cancer. The tool — dubbed MAGI, for Mutation Annotation and Genome Interpretation — is an open-source web application that enables users to search, visualize, and annotate large public cancer genetics datasets, including data from The Cancer Genome Atlas (TCGA) project. “The main motivation for MAGI has been to reduce the computational burden required for researchers or doctors to explore and annotate cancer genomics data,” said Max Leiserson, a Ph.D. student at Brown who led the development of the tool.

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