<p>Scalable data analytics of the PDB with the MacroMolecular Transmission Format (MMTF) and big data technologies</p>

Peter W. Rose; Anthony R. Bradley; Jose M. Duarte; Antonin Pavelka; Andreas Prlic; Alexander S. Rose; Yana Valasatava; Yue Yue

doi:10.7490/f1000research.1114567.1

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Rose PW, Bradley AR, Duarte JM et al. Scalable data analytics of the PDB with the MacroMolecular Transmission Format (MMTF) and big data technologies [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1321 (poster) (https://doi.org/10.7490/f1000research.1114567.1)

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Scalable data analytics of the PDB with the MacroMolecular Transmission Format (MMTF) and big data technologies

Peter W. Rose¹, Anthony R. Bradley, Jose M. Duarte, Antonin Pavelka, Andreas Prlic, Alexander S. Rose, Yana Valasatava, Yue Yue

Published 04 Aug 2017 (https://doi.org/10.7490/f1000research.1114567.1)

Author Affiliations

¹ UC San Diego, USA

Copyright © 2017 Rose PW et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 04 Aug 2017

Scalable data analytics of the PDB with the MacroMolecular Transmission Format (MMTF) and big data technologies
[version 1; not peer reviewed]

Peter W. Rose¹, Anthony R. Bradley, Jose M. Duarte, Antonin Pavelka, Andreas Prlic, Alexander S. Rose, Yana Valasatava, Yue Yue

Author Affiliations

¹ UC San Diego, USA

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Protein Data Bank, MacroMolecular Transmission Format, MMTF, big data, structural bioinformatics, data compression, Apache Spark

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