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This Week in PNAS

In this week's PNAS Early Edition, the Broad Institute's David Jaffe and his colleagues describe ALLPATHS-LG, a genome assembly algorithm that uses data from massively parallel sequencers. Using ALLPATHS-LG on Illumina data, Jaffe et al. found that their assembly accuracy was higher than that achieved with capillary-based sequencing.

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A group of statisticians want to eliminate researchers' reliance on 'statistical significance,' according to NPR.

Newsweek discusses the privacy issues raised by digital medicine.

In Nature this week: genetic analysis of Anatolian farmers, cotton genome analysis, and more.

Matt Hancock, the UK health secretary, is calling for the swift rollout of predictive genetic tests, the Guardian reports.