A research duo from the University of Cambridge outlines a computational method for teasing apart clonal lineages in a tumor using single-cell sequencing data. The approach — known as the oncogenic nested effects model, or OncoNEM — looks for tumor subpopulations based on probabilistic models of mutation accumulation and inferred sequence patterns in individual cells to provide information on the genotypes and relationships between these intra-tumor clonal populations.

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While gene therapies may have high price tags, they could be cheaper than the cost of managing disease, according to MIT's Technology Review.

Researchers are looking for markers that indicate which cancer patients may respond to immunotherapies, the Associated Press writes.

In Nature this week: paternal age associated with de novo mutations in children, and more.

Nature News writes that researchers are still wrangling over the role of the p-value.