Massachusetts Institute of Technology researchers present a deep convolutional neural network model designed to discern the DNA methylation consequences of non-coding DNA variants based on learned regulatory codes and neighboring sequence features. The approach, dubbed CpGenie, "predicts the impact of sequence variants on DNA methylation with an accuracy that surpasses existing methods for functional variants prioritization," the study's authors say.

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Senator Elizabeth Warren (D-Mass.) has released the results of a genetic ancestry analysis, the Boston Globe reports.

Retraction Watch's Ivan Oransky and Adam Marcus report that Harvard Medical School and Brigham and Women's Hospital have recommended that more than 30 papers from a former researcher be retracted.

Thomas Steitz, who won the 2009 chemistry Nobel Prize for his ribosome work, has died, the Washington Post reports.

In PLOS this week: mechanisms for genes implicated in coronary artery disease, rumen microbes and host genetics influence cow methane production, and more.