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DIALS as a toolkit.
Winter, Graeme; Beilsten-Edmands, James; Devenish, Nicholas; Gerstel, Markus; Gildea, Richard J; McDonagh, David; Pascal, Elena; Waterman, David G; Williams, Benjamin H; Evans, Gwyndaf.
Afiliación
  • Winter G; Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
  • Beilsten-Edmands J; Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
  • Devenish N; Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
  • Gerstel M; Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
  • Gildea RJ; Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
  • McDonagh D; STFC Rutherford Appleton Laboratory, Didcot, UK.
  • Pascal E; Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
  • Waterman DG; STFC Rutherford Appleton Laboratory, Didcot, UK.
  • Williams BH; CCP4, Research Complex at Harwell, Rutherford Appleton Laboratory, Didcot, UK.
  • Evans G; Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
Protein Sci ; 31(1): 232-250, 2022 01.
Article en En | MEDLINE | ID: mdl-34747533
ABSTRACT
The 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Procesamiento Automatizado de Datos Idioma: En Revista: Protein Sci Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Procesamiento Automatizado de Datos Idioma: En Revista: Protein Sci Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido