Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia
Schneider, Maria Victoria, Griffin, Phillippa C., Tyagi, Sonika, Flannery, Madison, Dayalan, Saravanan, Gladman, Simon, Watson-Haigh, Nathan, Bayer, Philipp E., Charleston, Michael, Cooke, Ira, Cook, Rob, Edwards, Richard J., Edwards, David, Gorse, Dominique, McConville, Malcolm, Powell, David, Wilkins, Marc R., and Lonie, Andrew (2017) Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia. Briefings in Bioinformatics, 2017.
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Abstract
EMBL Australia Bioinformatics Resource (EMBL-ABR) is a developing national research infrastructure, providing bioinformatics resources and support to life science and biomedical researchers in Australia. EMBL-ABR comprises 10 geographically distrib- uted national nodes with one coordinating hub, with current funding provided through Bioplatforms Australia and the University of Melbourne for its initial 2-year development phase. The EMBL-ABR mission is to: (1) increase Australia’s capacity in bioinformatics and data sciences; (2) contribute to the development of training in bioinformatics skills; (3) showcase Australian data sets at an international level and (4) enable engagement in international programs. The activities of EMBL-ABR are focussed in six key areas, aligning with comparable international initiatives such as ELIXIR, CyVerse and NIH Commons. These key areas—Tools, Data, Standards, Platforms, Compute and Training—are described in this article.
Item ID: | 53248 |
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Item Type: | Article (Research - C1) |
ISSN: | 1477-4054 |
Keywords: | EMBL-ABR; distributed network; bioinformatics infrastructure; data-driven analysis; bioinformatics service; bioinformatics training; data-driven science; national; capability; services |
Additional Information: | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
Funders: | University of Melbourne, Bioplatforms Australia |
Date Deposited: | 23 Apr 2018 04:58 |
FoR Codes: | 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310299 Bioinformatics and computational biology not elsewhere classified @ 100% |
SEO Codes: | 97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100% |
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