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.

Get the full story with
GenomeWeb Premium

Only $95 for the
first 90 days*

A trial upgrade to GenomeWeb Premium gives you full site access, interest-based email alerts, access to archives, and more. Never miss another important industry story.

Try GenomeWeb Premium now.

Already a GenomeWeb Premium member? Login Now.
Or, See if your institution qualifies for premium access.

*Before your trial expires, we’ll put together a custom quote with your long-term premium options.

Not ready for premium?

Register for Free Content
You can still register for access to our free content.

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

Forensic experts exhumed painter Salvador Dalí's body to collect DNA for a paternity test, CBS News reports.

Yale Environment 360 writes that synthetic and conservation biologists aren't always on the same wavelength, but they are trying to reach an understanding.

In Science this week: full CRISPR locus integration complex structure, and more.