<p>BioinfoCore @ USU: high-performance computing for bioinformatics and the challenges of big -OMICS data</p>

Rousselene B. Larson; Shelby McCowan; Rakesh Kaundal

doi:10.7490/f1000research.1118110.1

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Larson RB, McCowan S and Kaundal R. BioinfoCore @ USU: high-performance computing for bioinformatics and the challenges of big -OMICS data [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):810 (poster) (https://doi.org/10.7490/f1000research.1118110.1)

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BioinfoCore @ USU: high-performance computing for bioinformatics and the challenges of big -OMICS data

Rousselene B. Larson, Shelby McCowan, Rakesh Kaundal¹

Published 30 Jul 2020 (https://doi.org/10.7490/f1000research.1118110.1)

Author Affiliations

¹ Utah State University, USA

Copyright © 2020 Larson RB et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 30 Jul 2020

BioinfoCore @ USU: high-performance computing for bioinformatics and the challenges of big -OMICS data
[version 1; not peer reviewed]

Rousselene B. Larson, Shelby McCowan, Rakesh Kaundal¹

Author Affiliations

¹ Utah State University, USA

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

High-performance computing, Bioinformatics, Next-generation sequencing, Core facility, Collaborative research

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