TY - JOUR KW - Crystallography, X-Ray KW - Macromolecular Substances KW - Software KW - Internet KW - Databases, Genetic KW - Publications AU - P. A. Meyer AU - S. Socias AU - J. Key AU - E. Ransey AU - E. C. Tjon AU - A. Buschiazzo AU - M. Lei AU - C. Botka AU - J. Withrow AU - D. Neau AU - K. Rajashankar AU - K. S. Anderson AU - R. H. Baxter AU - S. C. Blacklow AU - T. J. Boggon AU - A. M. J. J. Bonvin AU - D. Borek AU - T. J. Brett AU - A. Caflisch AU - C.-I. Chang AU - W. J. Chazin AU - K. D. Corbett AU - M. S. Cosgrove AU - S. Crosson AU - S. Dhe-Paganon AU - E. Di Cera AU - C. L. Drennan AU - M. J. Eck AU - B. F. Eichman AU - Q. R. Fan AU - A. R. Ferré-D'Amaré AU - J. C. Fromme AU - K. C. Garcia AU - R. Gaudet AU - P. Gong AU - S. C. Harrison AU - E. E. Heldwein AU - Z. Jia AU - R. J. Keenan AU - A. C. Kruse AU - M. Kvansakul AU - J. S. McLellan AU - Y. Modis AU - Y. Nam AU - Z. Otwinowski AU - E. F. Pai AU - P. J. B. Pereira AU - C. Petosa AU - C. S. Raman AU - T. A. Rapoport AU - A. Roll-Mecak AU - M. K. Rosen AU - G. Rudenko AU - J. Schlessinger AU - T. U. Schwartz AU - Y. Shamoo AU - H. Sondermann AU - Y. J. Tao AU - N. H. Tolia AU - O. V. Tsodikov AU - K. D. Westover AU - H. Wu AU - I. Foster AU - J. S. Fraser AU - F. R. N. C. Maia AU - T. Gonen AU - T. Kirchhausen AU - K. Diederichs AU - M. Crosas AU - P. Sliz AB -
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.
BT - Nature Communications C1 - 0200 DA - 2016 Mar 07 DO - 10.1038/ncomms10882 J2 - Nat Commun LA - eng M3 - Research Article N2 -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.
PY - 2016 EP - 10882 T2 - Nature Communications TI - Data publication with the structural biology data grid supports live analysis VL - 7 SN - 2041-1723 ER -