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The CSBG - LSU Gateway: Web based Hosted Gateway for Computational System Biology Application Tools from Louisiana State University

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Published:22 July 2018Publication History

ABSTRACT

Science gateways are identified as an effective way to publish and distribute software for research communities without the burden of learning HPC (High Performance Computer) systems. In the past, researchers were expected to have in-depth knowledge about using HPC systems for computations along with their respective science field in order to do effective research. Science gateways eliminate the need to learn HPC systems and allows the research communities to focus more on their science and let the gateway handle communicating with HPCs. In this poster we are presenting the science gateway project of CSBG (Computational System Biology Group - www.brylinski.org) of Department of Biological Sciences with Center for Computation & Technology at LSU (Louisiana State University). The gateway project was initiated in order to provide CSBG software tools as a service through a science gateway.

References

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  1. The CSBG - LSU Gateway: Web based Hosted Gateway for Computational System Biology Application Tools from Louisiana State University

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      • Published in

        cover image ACM Other conferences
        PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing
        July 2018
        652 pages
        ISBN:9781450364461
        DOI:10.1145/3219104

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 22 July 2018

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        • extended-abstract
        • Research
        • Refereed limited

        Acceptance Rates

        PEARC '18 Paper Acceptance Rate79of123submissions,64%Overall Acceptance Rate133of202submissions,66%
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