Aquaria specifications
- Unique identifier:
- OMICS_12255
- Restrictions to use:
- None
- Stability:
- Stable
- Interface:
- Web user interface
- Computer skills:
- Basic
- Maintained:
- Yes
Aquaria support
Maintainer
- Aquaria <>
forum
No open topic.
Credits
Publications
-
(O'Donoghue et al., 2015)
Aquaria: simplifying discovery and insight from protein structures.
Nat Methods.
PMID: 25633501
Institution(s)
Digital Productivity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, Australia; Division of Genomics and Epigenetics, Garvan Institute of Medical Research, Sydney, Australia; School of Molecular Bioscience, The University of Sydney, Sydney, Australia; School of Information Technologies, The University of Sydney, Sydney, Australia; Department for Bioinformatics and Computational Biology, Technische Universität München, Munich, Germany; Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal; Instituto de Sistemas e Robótica, Lisboa, Lisbon, Portugal; St. Vincent's Clinical School, The University of New South Wales (UNSW), Sydney, Australia
Funding source(s)
This work was supported by CSIRO’s OCE Science Leader program and its Computational and Simulation Sciences platform, as well as the Alexander von Humboldt Foundation.
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