Data publication with the structural biology data grid supports live analysis
2016; Nature Portfolio; Volume: 7; Issue: 1 Linguagem: Inglês
10.1038/ncomms10882
ISSN2041-1723
AutoresPeter Meyer, Stephanie Socias, Jason Key, Elizabeth Ransey, Emily Tjon, Alejandro Buschiazzo, Ming Lei, Chris Botka, James R. Withrow, David B. Neau, Kanagalaghatta R. Rajashankar, Karen S. Anderson, Richard H. G. Baxter, Stephen C. Blacklow, Titus J. Boggon, Alexandre M. J. J. Bonvin, Dominika Borek, Tom J. Brett, Amedeo Caflisch, Chung‐I Chang, Walter Chazin, Kevin D. Corbett, Michael S. Cosgrove, Sean Crosson, Sirano Dhe‐Paganon, Enrico Di, Catherine L. Drennan, Michael J. Eck, Brandt F. Eichman, Qing Fan, A.R. Ferré-D′Amaré, J. Christopher Fromme, K. Christopher García, Rachelle Gaudet, Peng Gong, Stephen C. Harrison, Ekaterina E. Heldwein, Zongchao Jia, Robert J. Keenan, Andrew C. Kruse, Marc Kvansakul, Jason S. McLellan, Yorgo Modis, Yunsun Nam, Zbyszek Otwinowski, E.F. Pai, Pedro José Barbosa Pereira, Carlo Petosa, C.S. Raman, Tom A. Rapoport, Antonina Roll‐Mecak, Michael K. Rosen, Gabby Rudenko, Joseph Schlessinger, Thomas Schwartz, Yousif Shamoo, Holger Sondermann, Yizhi Jane Tao, Niraj H. Tolia, O.V. Tsodikov, Kenneth D. Westover, Hao Wu, Ian Foster, James S. Fraser, Filipe R. N. C. Maia, Tamir Gonen, Tomas Kirchhausen, Kay Diederichs, Mercè Crosas, Piotr Sliz,
Tópico(s)Microbial Metabolic Engineering and Bioproduction
ResumoAbstract Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.
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