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Comparing genomes across species with data visualization
Researchers in the lab of Casey Dunn, an assistant professor of ecology and evolutionary biology at Brown University and a 2011 Alan T. Waterman Award winner, use data visualization to compare genomes across species. In this image, each point is a gene and the lines indicate the degree of similarity of the genes. These genes are sampled across multiple species and the plot provides a visualization for one step in the analysis methods used. The analysis methods were developed by the Dunn lab.
Through the support of the National Science Foundation's (NSF) Experimental Program to Stimulate Competitive Research (EPSCoR), the Dunn Lab has laid the computational infrastructure for analyzing datasets that will eventually be used for visualizations. Brown and the Rhode Island School of Design are two of nine partner schools in Rhode Island
EPSCoR, which specializes in studying marine life, particularly the response of marine organisms to variations in climate.
To learn more, see the Brown Daily Herald story Art for the sake of science. [Research supported by NSF grant EPS 10-04057.] (Date of Image: October 2011)
Credit: Stephen Smith and Casey Dunn, Brown University
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