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 Genome Research this week: mitochondrial and nuclear gene fusions in cancer, role of genomic imprinting in tissue-specific gene expression, and more.

Maria Freire from the Foundation for the NIH calls for "politically popular pledges of support" for the NIH to turn into support for increased funding for the agency.

A Thomson Reuters analysis indicates that the life sciences, rather than the tech sector, are increasingly driving global innovation.

The White House says ethical discussions about genome editing of the human germline are needed.