This Week in PLoS

In PLoS Computational Biology, MIT's Kristen Naegle et al. present "a new computational framework for applying clustering to biological data in order to overcome the typical dependence on specific a priori assumptions and expert knowledge concerning the technical aspects of clustering," which they called the multiple clustering analysis methodology, or MCAM.

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Consulting company McKinsey says diagnostics companies will have to combine genomic data analysis, electronic medical records, effective reimbursement strategies, and regulatory compliance in order to win.

A new report has found that researchers in Africa are still heavily dependent on funding from organizations in the US, Europe, and China, Nature News says.

An article in The Atlantic argues that the progress being made in science isn't keeping pace with the money and time being spent on research.

In Science this week: a CRISPR screen identifies sideroflexin 1 as a requisite component of one-carbon metabolism, and more.