A sustainable national gateway for biological computation

Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery Pub Date : 2013-07-22 DOI:10.1145/2484762.2484817

James Taylor, A. Nekrutenko, Nate Coraor, Philip D. Blood, A. Ropelewski, Zhihui Zhang, J. Palencia, S. Sanielevici, J. Yanovich, R. Budden

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引用次数: 1

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.

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一个可持续发展的国家生物计算门户

我们已经开发并继续支持银河基因组分析系统[1]。我们的主要公共星系分析网站(Galaxy main)目前支持近30,000名用户每月执行数十万个分析工作。世界上许多学术和商业机构都运营着私人的Galaxy实例。到目前为止，我们的工作重点是开发软件，使任何生物学研究人员能够通过隐藏与底层程序和高性能计算基础设施管理相关的技术复杂性来执行复杂的计算分析[2]。作为我们最初成功的直接后果，我们已经达到了一个点，我们无法再维持在我们的公共服务器上的分析负载和相关生物数据存储的指数级增长。在这里，我们讨论我们正在进行的努力和未来的计划，以建立一个可持续的国家门户，以分析生物数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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