Aether: Leveraging Linear Programming For Optimal Cloud Computing In Genomics.

نویسندگان

  • Jacob M Luber
  • Braden T Tierney
  • Evan M Cofer
  • Chirag J Patel
  • Aleksandar D Kostic
چکیده

Motivation Across biology we are seeing rapid developments in scale of data production without a corresponding increase in data analysis capabilities. Results Here, we present Aether (http://aether.kosticlab.org), an intuitive, easy-to-use, cost-effective, and scalable framework that uses linear programming (LP) to optimally bid on and deploy combinations of underutilized cloud computing resources. Our approach simultaneously minimizes the cost of data analysis and provides an easy transition from users' existing HPC pipelines. Availability Data utilized are available at https://pubs.broadinstitute.org/diabimmune and with EBI SRA accession ERP005989. Source code is available at (https://github.com/kosticlab/aether). Examples, documentation, and a tutorial are available at (http://aether.kosticlab.org). Contact [email protected] and [email protected]. Supplementary information Supplementary data are available at Bioinformatics online.

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عنوان ژورنال:
  • Bioinformatics

دوره   شماره 

صفحات  -

تاریخ انتشار 2017