Aquaria: Simplifying discovery and insight from protein structures

Seán I. O'Donoghue; Kenneth S. Sabir; Maria Kalemanov; Christian Stolte; Benjamin Wellmann; Vivian Ho; Manfred Roos; Nelson Perdigão; Fabian A. Buske; Julian Heinrich; Burkhard Rost; Andrea Schafferhans

doi:10.1038/nmeth.3258

Aquaria: Simplifying discovery and insight from protein structures

Seán I. O'Donoghue, Kenneth S. Sabir, Maria Kalemanov, Christian Stolte, Benjamin Wellmann, Vivian Ho, Manfred Roos, Nelson Perdigão, Fabian A. Buske, Julian Heinrich, Burkhard Rost, Andrea Schafferhans

Informatics 12 - Chair of Bioinformatics

Research output: Contribution to journal › Letter › peer-review

48 Scopus citations

Original language	English
Pages (from-to)	98-99
Number of pages	2
Journal	Nature Methods
Volume	12
Issue number	2
DOIs	https://doi.org/10.1038/nmeth.3258
State	Published - 1 Jan 2015

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10.1038/nmeth.3258

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title = "Aquaria: Simplifying discovery and insight from protein structures",

author = "O'Donoghue, {Se{\'a}n I.} and Sabir, {Kenneth S.} and Maria Kalemanov and Christian Stolte and Benjamin Wellmann and Vivian Ho and Manfred Roos and Nelson Perdig{\~a}o and Buske, {Fabian A.} and Julian Heinrich and Burkhard Rost and Andrea Schafferhans",

note = "Funding Information: We thank C. Hammang and V.P. Satagopam for helpful discussions. This work was supported by CSIRO{\textquoteright}s OCE Science Leader program and its Computational and Simulation Sciences platform, as well as the Alexander von Humboldt Foundation. We gratefully acknowledge the support of Amazon AWS in hosting the Aquaria server and in making PSSH2 available as a public data set.",

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T2 - Simplifying discovery and insight from protein structures

AU - O'Donoghue, Seán I.

AU - Sabir, Kenneth S.

AU - Kalemanov, Maria

AU - Stolte, Christian

AU - Wellmann, Benjamin

AU - Ho, Vivian

AU - Roos, Manfred

AU - Perdigão, Nelson

AU - Buske, Fabian A.

AU - Heinrich, Julian

AU - Rost, Burkhard

AU - Schafferhans, Andrea

N1 - Funding Information: We thank C. Hammang and V.P. Satagopam for helpful discussions. 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. We gratefully acknowledge the support of Amazon AWS in hosting the Aquaria server and in making PSSH2 available as a public data set.

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SN - 1548-7091

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Aquaria: Simplifying discovery and insight from protein structures

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