Stanford Team Finds Cloud Computing To Be an Affordable Option for Translational Bioinformatics | GenomeWeb

By Uduak Grace Thomas

A recent study by bioinformaticians at the Stanford University School of Medicine found that analyzing a large genomic dataset in Amazon’s cloud cost about three times more than running the same dataset on a local compute cluster and took about 12 hours longer • but the team still determined that in the long run, cloud computing is a cheaper and a more sustainable method for clinical researchers who need to analyze large datasets sporadically.

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.

In PNAS this week: diatom genetic diversity, microfluidic droplet method for single-cell screening, and more.

Scientific publishers are looking into whether artificial intelligence can help the peer-review process, Wired reports.

Researchers are using gene editing to develop more robust livestock and crops, AFP reports.

Researchers rally near the American Association for the Advancement of Science annual meeting in Boston.