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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Congress approved a bill Friday that would increase the US National Institutes of Health's funding by $2 billion for fiscal year 2019.

UK's Labour Party calls for a ban on non-invasive prenatal testing for determining sex, BBC News reports.

Sarah Lawrence College's Laura Hercher warns in a New York Times op-ed that more people are going to need help figuring out what their consumer genetic testing results mean.

In PLOS this week: intra-tumor heterogeneity patterns, genomic analysis of Thoroughbred horse origins, and more.