Aquaria specifications
Information
| Unique identifier | OMICS_12255 |
|---|---|
| Name | Aquaria |
| Interface | Web user interface |
| Restrictions to use | None |
| Computer skills | Basic |
| Stability | Stable |
| Maintained | Yes |
Maintainer
- person_outline Aquaria <>
Aquaria article
2015 Nat Methods
PMID: 25633501
Aquaria 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
Aquaria 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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