This Week in PLOS

In PLOS One, Case Western Reserve University's Jing Li and colleagues from that center's electrical engineering and computer science department describe a method for predicting the presence of structural variation from paired-end, high-throughput sequence data. The approach, dubbed SVMiner, uses a model-based clustering approach to define a range of candidate structural variants from paired-end sequence data given structural variant features.

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This Week in PLOS

This Week in PLOS

This Week in PLOS

This Week in PLOS

This Week in PLOS

In PNAS this week: Akt3 amplification in glioma progression, Tibetan Plateau frog genome, and more.

The US Supreme Court has declined to review a decision involving the use of "inadvertently shed" DNA in a police investigation and subsequent conviction.

A panel at the New York Times discusses anonymity and privacy of users of 23andMe's services when access to its database is offered for research.

National Institutes of Health Director Francis Collins appears before a House subcommittee to discuss his agency's budget request.