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

A European team has launched a four-year study to develop a test to gauge cervical, ovarian, uterine, or aggressive breast cancer risk in women.

As interest in personalized medicine grows, government contractors are entering the field, the Washington Post reports.

In PNAS this week: spatiotemporal study of lncRNA expression, role of extrachromosomal, circular DNAs in yeast, and more.

In PLOS this week: Plasmodium knowlesi population genetics, oral microbiome of infants and children, and more.