1. Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia
- Author
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Sonika Tyagi, R. D. Cook, Ira Cooke, Simon Gladman, Malcolm J. McConville, Saravanan Dayalan, Andrew Lonie, Marc R. Wilkins, Dominique Gorse, Richard Edwards, Maria Victoria Schneider, David Edwards, Nathan S. Watson-Haigh, Philippa C. Griffin, Michael A. Charleston, David R. Powell, Madison Flannery, and Philipp E. Bayer
- Subjects
Paper ,bioinformatics service ,services ,Biomedical Research ,Resource (biology) ,distributed network ,0206 medical engineering ,02 engineering and technology ,Biological Science Disciplines ,computer.software_genre ,Bioinformatics ,03 medical and health sciences ,Political science ,Humans ,Molecular Biology ,Data Curation ,030304 developmental biology ,computer.programming_language ,data-driven analysis ,International level ,bioinformatics infrastructure ,0303 health sciences ,bioinformatics training ,data-driven science ,Data curation ,capability ,Australia ,national ,Computational Biology ,Key (cryptography) ,EMBL-ABR ,Elixir (programming language) ,Commons ,computer ,020602 bioinformatics ,Information Systems ,Data integration - 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 distributed 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.
- Published
- 2017