Statistical software giant SAS Institute has established a genomics group that will aim to apply its methodology to analyzing gene expression data, Russ Wolfinger, the director of the division told the New England Bioinformatics Group last week.

Wolfinger told those gathered for the first NEBiG meeting of 2001 that a statistical approach to gene expression analysis could improve the accuracy of experimental results.

The method he described uses two interconnected mixed linear models to assess statistical differences in gene expression data from microarrays.

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Using DNA to sketch crime victims might not be a great idea, the NYTimes says.

Science has its own problem with sexual harassment. What do we do with the research these abusers produce, Wired asks.

Senate Republicans led by Senator Rand Paul (R-KY) are trying to change how the government funds basic research, reports ScienceInsider.

In Science this week: combining genomics and ecology to better understand the effects of natural selection on evolution, and more.