Web app helps researchers explore cancer genetics

As gene sequencing has gotten faster and cheaper, clinicians and researchers are able to use genomic data to study, diagnose, and develop a course of treatment for a variety of individual cancers. MAGI, an open-source tool developed by Brown University researchers, lets users compare their data with enormous cancer genetics datasets.

Brown News article

AAAS article

(Distributed July 24, 2015)

Probing the Deep History of Human Genes and Language

Brown University evolutionary biologist Sohini Ramachandran has joined with colleagues in publishing a sweeping analysis of genetic and linguistic patterns across the world’s populations. Among the findings is that geographic distance predicts differentiation in both language and genes. Full text.

(Distributed February 2, 2015)

Algorithm Identifies Networks of Genetic Changes Across Cancers:


PROVIDENCE, R.I. [Brown University] — Using a computer algorithm that can sift through mounds of genetic data, researchers from Brown University have identified several networks of genes that, when hit by a mutation, could play a role in the development of multiple types of cancer. Full Text

(Distributed February 2, 2015)
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