German researchers present a computational strategy for pulling together data from multiple omics sources when doing biological assessments of gene sets. The team outlined the rationale behind its "Multi-level Ontology Analysis" algorithm, nicknamed MONA, in the study, demonstrating that the model-based method could accurately deal with multiple levels of information — both synthetic data and data generated for three studies using various molecular profiling types.

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In Nature this week: association between genome-wide homozygosity and traits like height and cognitive ability, improved CRISPR-Cas9 editing, and more.

A survey examines how age, political leanings, and more influence how Americans view certain scientific topics, the Associated Press reports.

A researcher who pleaded guilty to making false statements in research reports has been sentenced to four and a half years in prison and must pay $7.2 million back to the NIH.

The BabySeq project to study the risks and benefits of sequencing newborns is underway.