DIALS as a toolkit
Copyright policy )WT| DIALS: making serial crystallography data analysis accessible for biomedical researchers. ,
NIH| Realizing New Horizons in X-ray Crystallography Data Processing ,
EC| BIOSTRUCT-X ,
NIH| DIALS: New Computational Methods to Enable Challenging Crystallographic Experiments ,
WT| DIALS: Advancing Data Analysis for Synchrotron, XFEL and electron crystallography
Graeme Winter; James Beilsten‐Edmands; Nicholas Devenish; Markus Gerstel; Richard J. Gildea; David McDonagh; Elena Pascal; +3 Authors
Graeme Winter; James Beilsten‐Edmands; Nicholas Devenish; Markus Gerstel; Richard J. Gildea; David McDonagh; Elena Pascal; David G. Waterman; Benjamin H. Williams; Gwyndaf Evans;
DIALS as a toolkit
AbstractThe DIALS software for the processing of X‐ray diffraction data is presented, with an emphasis on how the suite may be used as a toolkit for data processing. The description starts with an overview of the history and intent of the toolkit, usage as an automated system, command‐line use, and ultimately how new tools can be written using the API to perform bespoke analysis. Consideration is also made to the application of DIALS to techniques outside of macromolecular X‐ray crystallography.
- Wellcome Trust United Kingdom
- Science and Technology Facilities Council United Kingdom
- Diamond Light Source Ltd
- Rutherford Appleton Laboratory United Kingdom
- STFC Rutherford Appleton Laboratory United Kingdom
Electronic Data Processing, Tools for Protein Science, Crystallography, X-Ray, Software
Electronic Data Processing, Tools for Protein Science, Crystallography, X-Ray, Software
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 123
Top 1%
Top 10%
Top 1%
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