Researchers from Weill Cornell Medical College and elsewhere present findings from a prostate cancer analysis performed with a computational tool called RegNetDriver, designed to uncover cancer driver mutations based on integrated genomic and epigenomic data. For its proof-of-principle analyses, the team used RegNetDriver to analyze structural variant, transcription factor, variant, promoter, enhancer, and other data gleaned from 521 prostate cancer tumors.

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Researchers hope to tease out the signature effects that different carcinogens leave on the genome to determine their contributions to disease, Mosaic reports.

The Wall Street Journal looks into the cost of new gene therapies.

An Imperial College London-led team reports that it was able to use a gene drive to control a population of lab mosquitos.

In PNAS this week: genomic effects of silver fox domestication, limited effect of mitochondrial mutations on aging in fruit flies, and more.