U.S. Department of EnergyOffice of Scientific and Technical Information
Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source
Abstract
This dataset consists of 79,992 diffraction patterns stored in cbf format. A step-by-step tutorial on the reconstruction of the Bragg intensities using the EMC algorithm (Loh & Elser 2009) is described [here](https://github.com/tl578/EMC-for-SMX/wiki). We thank the authors of Martin-Garcia et al. (2017) for their gracious access to the data. Reduced data files: For those who would like to try an EMC reconstruction immediately, the data reduction step can be skipped by downloading the reduced data files provided by us. See [here](https://github.com/tl578/EMC-for-SMX/wiki/Data-reduction#skipping-data-reduction) for more details.
- Authors:
- Publication Date:
- Other Number(s):
- CXIDB ID 82
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Coherent X-ray Imaging Data Bank; , SLAC
- Sponsoring Org.:
- , SLAC
- Keywords:
- 23-ID-D; XFEL; APS; X-ray Free-electorn Lasers; Serial Crystallography; Hen egg white lysozyme
- OSTI Identifier:
- 1459500
- DOI:
- https://doi.org/10.11577/1459500
Citation Formats
Lan, Ti-Yen. Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source. United States: N. p., 2018.
Web. doi:10.11577/1459500.
Lan, Ti-Yen. Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source. United States. doi:https://doi.org/10.11577/1459500
Lan, Ti-Yen. 2018.
"Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source". United States. doi:https://doi.org/10.11577/1459500. https://www.osti.gov/servlets/purl/1459500. Pub date:Wed Jun 13 00:00:00 EDT 2018
@article{osti_1459500,
title = {Solving protein structure from sparse serial microcrystal diffraction data at a storage ring synchrotron source},
author = {Lan, Ti-Yen},
abstractNote = {This dataset consists of 79,992 diffraction patterns stored in cbf format. A step-by-step tutorial on the reconstruction of the Bragg intensities using the EMC algorithm (Loh & Elser 2009) is described [here](https://github.com/tl578/EMC-for-SMX/wiki). We thank the authors of Martin-Garcia et al. (2017) for their gracious access to the data. Reduced data files: For those who would like to try an EMC reconstruction immediately, the data reduction step can be skipped by downloading the reduced data files provided by us. See [here](https://github.com/tl578/EMC-for-SMX/wiki/Data-reduction#skipping-data-reduction) for more details.},
doi = {10.11577/1459500},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jun 13 00:00:00 EDT 2018},
month = {Wed Jun 13 00:00:00 EDT 2018}
}
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