There’s no shortage of commercial software packages for enterprise-scale microarray analysis, so why did Johnson & Johnson’s Pharmaceutical R&D group in Raritan, NJ, turn to academic collaborators and public domain tools when it wanted to automate its gene expression analysis pipeline? According to Javier Cabrera, a Rutgers University statistician who worked on the project, commercial statistical packages aren’t as easy to use as the collection of R programs he and his J&J collaborators have written for microarray analysis.

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Gene drives might run into biological resistance, the Economist reports.

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