Cornell University Algorithm to Accelerate Comparative Gene Mapping, Researchers Say | GenomeWeb

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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