A sustainable national gateway for biological computation

James Taylor, Alex Ropelewski, Zhihui Zhang, Anton Nekrutenko, Josephine Palencia, Sergiu Sanielevici, Nate Coraor, Jared Yanovich, Philip D. Blood, Robert Budden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2013 Conference
Subtitle of host publicationGateway to Discovery
DOIs
StatePublished - Aug 26 2013
EventConference on Extreme Science and Engineering Discovery Environment, XSEDE 2013 - San Diego, CA, United States
Duration: Jul 22 2013Jul 25 2013

Publication series

NameACM International Conference Proceeding Series

Other

OtherConference on Extreme Science and Engineering Discovery Environment, XSEDE 2013
CountryUnited States
CitySan Diego, CA
Period7/22/137/25/13

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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