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Aquaria specifications


Unique identifier OMICS_12255
Name Aquaria
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Aquaria <>

Publication for Aquaria

Aquaria citations


Challenges for visualizing three‐dimensional data in genomic browsers

PMCID: 5638070
PMID: 28771695
DOI: 10.1002/1873-3468.12778

[…] challenges and advanced selection is now being designed into genome browsers such as icn3d and chimerax . conventional tracks can also assist in selection of 3d elements as demonstrated in the aquaria protein browser or 3d animation software such as blender or unity. as such, the track as mere slices of the whole 3d model, remain essential to navigation., visualization of data […]


Integrated visual analysis of protein structures, sequences, and feature data

PMCID: 4547178
PMID: 26329268
DOI: 10.1186/1471-2105-16-S11-S7

[…] and (ii) map sequence-based features (e.g., domains, single-nucleotide polymorphisms, post-translational modifications) onto these structures., to streamline these processes we recently developed aquaria, a resource offering unprecedented access to protein structure information based on an all-against-all comparison of swissprot and pdb sequences. in this work, we provide a requirements […]

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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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