This Week in PLoS

In PLoS Computational Biology this week, the University of British Columbia's Kelvin Zhang and the Ontario Institute for Cancer Research's Francis Ouellette present an approach to predict cancer outcomes based on relationships "between protein structural information, protein networks, gene expression data, and mutation data," which together form the "domain interaction network in human proteome." The team's approach first scored each protein "by quantifying the domain conne

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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.