Aether: leveraging linear programming for optimal cloud computing in genomics.

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 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 AND IMPLEMENTATION

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

chirag_patel@hms.harvard.edu or aleksandar.kostic@joslin.harvard.edu.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.