We have developed and continue to support the Galaxy genomic analysis system [1]. Our main public Galaxy analysis website (Galaxy Main) currently supports close to 30,000 users performing hundreds of thousands of analysis jobs every month. Many academic and commercial institutions around the world operate private Galaxy instances. Our efforts so far have been focused on the development of software that enables any biological researcher to perform complex computational analyses by hiding technical complexities associated with management of underlying programs and high-performance compute infrastructure [2]. As a direct consequence of our initial success we have reached a point where we can no longer sustain the exponential growth of analysis load and associated biological data storage on our public servers. Here we discuss our ongoing efforts and future plans for establishing a sustainable national gateway for the analysis of biological data.

References

[1]

Goecks J, Nekrutenko A, Taylor J, Galaxy Team. 2010. Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol. 11, 8, R86. Epub 2010 Aug 25. 20738864; Central PMCID: PMC2945788.

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[2]

Nekrutenko A, Taylor J. Next-generation sequencing data interpretation: enhancing reproducibility and accessibility. Nat Rev Genet. 2012 Aug 17;13(9):667--72. 22898652.

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[3]

Nowoczynski P., Sommerfield J., Yanovich J., Scott J. R., Zhang Z., Levine M. 2012. The Data Supercell, XSEDE'12 Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the Campus and Beyond, ACM, New York, doi 10.1145/2335755.2335805.

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A sustainable national gateway for biological computation
1. Applied computing
  1. Life and medical sciences

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XSEDE '13: Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery

July 2013

433 pages

ISBN:9781450321709

DOI:10.1145/2484762

General Chair:
Nancy Wilkins-Diehr
San Diego Supercomputer Center

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Published: 22 July 2013

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XSEDE '13

XSEDE '13: Extreme Science and Engineering Discovery Environment: Gateway to Discovery

July 22 - 25, 2013

California, San Diego, USA

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