TY - GEN
T1 - A sustainable national gateway for biological computation
AU - Taylor, James
AU - Ropelewski, Alex
AU - Zhang, Zhihui
AU - Nekrutenko, Anton
AU - Palencia, Josephine
AU - Sanielevici, Sergiu
AU - Coraor, Nate
AU - Yanovich, Jared
AU - Blood, Philip D.
AU - Budden, Robert
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84882388140&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882388140&partnerID=8YFLogxK
U2 - 10.1145/2484762.2484817
DO - 10.1145/2484762.2484817
M3 - Conference contribution
AN - SCOPUS:84882388140
SN - 9781450321709
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the XSEDE 2013 Conference
T2 - Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013
Y2 - 22 July 2013 through 25 July 2013
ER -