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

Get the full story

This story is free
for registered users

Registering provides access to this and other free content.

Register now.

Already have an account?
Login Now.

Researchers suggest that genetic variations could influence the side effects people experience when using synthetic cannabinoids, the International Business Times reports.

An analysis has examined the makeup of researchers on Twitter and what they share, Nature News reports.

At Stat News, Jim Kozubek argues that the Broad Institute is pushing the boundary of what a nonprofit is.

In PNAS this week: gut microbes may affect honeybee weight, phenotype and gene expression changes in DiGeorge syndrome, and more.