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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A new analysis examines the gender gap among paper authors in the sciences and says it may take decades or more to close.

Researchers have uncovered signals of selection that may enable the Bajau people to free five hundreds of feet deep, Reuters reports.

In Science this week: paternally inherited cis-regulatory structural variants in autism, and more.

A new report outlines issues facing the implementation of personalized medicine in the UK, the Independent reports.