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.

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