Compressing a dataset with specialized algorithms is typically done in the context of data storage, where compression tools can shrink data to save space on a hard drive. But a group of researchers at MIT has developed tools that compute directly on compressed genomic datasets by exploiting the fact that most sequenced genomes are very similar to previously sequenced genomes.

Led by MIT professor Bonnie Berger, the group has recently released tools called CaBlast and CaBlat, compressive versions of the widely used Blast and Blat alignment tools, respectively.

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?

Browse our free articles
You can still register for access to our free content.

In Science this week: factors influencing retrotransposon integration sites, and more.

A bioethicist argues for the responsible use of germline gene editing.

Some breweries are using DNA-based testing to determine whether unwanted bacteria are affecting their beers, The Verge reports.

Standardized N-of-1 trials will be needed to test out personalized medicines, writes Nicholas Schork from the J. Craig Venter Institute at Nature.

May
28
Sponsored by
PerkinElmer

This online seminar will demonstrate how RNA-seq analysis in a model organism can provide insights into human disease.