As experimental tools have continued to evolve and the data sets they produce grow larger and larger, other research tools have refused to grow up. Such is the case with trusty mathematical analysis techniques like classification trees and forest-based methods, which can be used for examining high-throughput genome data. But if individual researchers without serious compute power want to utilize these tools to analyze the large datasets for genome-wide association studies, which can contain multiple gigabytes of SNP markers, they run into trouble.

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The Jackson Laboratory has filed a complaint accusing Nanjing University of breeding and re-selling its mouse models, the Hartford Courant reports.

Oxford researchers are turning to virtual reality to visualize genes and regulatory elements, says.

In Science this week: neutrophils rely on microRNA to protect against lung inflammation, and more.

China is moving forward with plans to sequence a million citizens, the Wall Street Journal reports.