Cornell University researchers have developed an algorithm that they said should drastically reduce the time it takes to create comparative gene maps.

Such maps are currently compiled by hand, using data collected in wet labs and analyzed with software that can only interpret one map at a time, a process that can take months.

The algorithm is able to perform the same task in a matter of hours, drawing on natural language processing techniques to remember the labels of genes and make decisions about what sequences go together on the basis of an overall trend.

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In Science this week: International Wheat Genome Sequencing Consortium publishes the bread wheat cultivar Chinese Spring reference genome, and more.

At his FDA Law Blog, Jeffrey Gibbs discusses FDA's technical assistance for the draft Diagnostic Accuracy and Innovation Act.

The New York Times reports that genetic testing has uncovered unfaithful penguins at a Utah aquarium.

Cancer researcher loses funding under new Wellcome Trust anti-bullying policies, the Guardian reports.

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