Cargando…
AUSPEX: a graphical tool for X-ray diffraction data analysis
In this paper, AUSPEX, a new software tool for experimental X-ray data analysis, is presented. Exploring the behaviour of diffraction intensities and the associated estimated uncertainties facilitates the discovery of underlying problems and can help users to improve their data acquisition and proce...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5586246/ https://www.ncbi.nlm.nih.gov/pubmed/28876236 http://dx.doi.org/10.1107/S205979831700969X |
_version_ | 1783261777467801600 |
---|---|
author | Thorn, Andrea Parkhurst, James Emsley, Paul Nicholls, Robert A. Vollmar, Melanie Evans, Gwyndaf Murshudov, Garib N. |
author_facet | Thorn, Andrea Parkhurst, James Emsley, Paul Nicholls, Robert A. Vollmar, Melanie Evans, Gwyndaf Murshudov, Garib N. |
author_sort | Thorn, Andrea |
collection | PubMed |
description | In this paper, AUSPEX, a new software tool for experimental X-ray data analysis, is presented. Exploring the behaviour of diffraction intensities and the associated estimated uncertainties facilitates the discovery of underlying problems and can help users to improve their data acquisition and processing in order to obtain better structural models. The program enables users to inspect the distribution of observed intensities (or amplitudes) against resolution as well as the associated estimated uncertainties (sigmas). It is demonstrated how AUSPEX can be used to visually and automatically detect ice-ring artefacts in integrated X-ray diffraction data. Such artefacts can hamper structure determination, but may be difficult to identify from the raw diffraction images produced by modern pixel detectors. The analysis suggests that a significant portion of the data sets deposited in the PDB contain ice-ring artefacts. Furthermore, it is demonstrated how other problems in experimental X-ray data caused, for example, by scaling and data-conversion procedures can be detected by AUSPEX. |
format | Online Article Text |
id | pubmed-5586246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-55862462017-09-13 AUSPEX: a graphical tool for X-ray diffraction data analysis Thorn, Andrea Parkhurst, James Emsley, Paul Nicholls, Robert A. Vollmar, Melanie Evans, Gwyndaf Murshudov, Garib N. Acta Crystallogr D Struct Biol Research Papers In this paper, AUSPEX, a new software tool for experimental X-ray data analysis, is presented. Exploring the behaviour of diffraction intensities and the associated estimated uncertainties facilitates the discovery of underlying problems and can help users to improve their data acquisition and processing in order to obtain better structural models. The program enables users to inspect the distribution of observed intensities (or amplitudes) against resolution as well as the associated estimated uncertainties (sigmas). It is demonstrated how AUSPEX can be used to visually and automatically detect ice-ring artefacts in integrated X-ray diffraction data. Such artefacts can hamper structure determination, but may be difficult to identify from the raw diffraction images produced by modern pixel detectors. The analysis suggests that a significant portion of the data sets deposited in the PDB contain ice-ring artefacts. Furthermore, it is demonstrated how other problems in experimental X-ray data caused, for example, by scaling and data-conversion procedures can be detected by AUSPEX. International Union of Crystallography 2017-08-08 /pmc/articles/PMC5586246/ /pubmed/28876236 http://dx.doi.org/10.1107/S205979831700969X Text en © Thorn et al. 2017 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/2.0/uk/ |
spellingShingle | Research Papers Thorn, Andrea Parkhurst, James Emsley, Paul Nicholls, Robert A. Vollmar, Melanie Evans, Gwyndaf Murshudov, Garib N. AUSPEX: a graphical tool for X-ray diffraction data analysis |
title |
AUSPEX: a graphical tool for X-ray diffraction data analysis |
title_full |
AUSPEX: a graphical tool for X-ray diffraction data analysis |
title_fullStr |
AUSPEX: a graphical tool for X-ray diffraction data analysis |
title_full_unstemmed |
AUSPEX: a graphical tool for X-ray diffraction data analysis |
title_short |
AUSPEX: a graphical tool for X-ray diffraction data analysis |
title_sort | auspex: a graphical tool for x-ray diffraction data analysis |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5586246/ https://www.ncbi.nlm.nih.gov/pubmed/28876236 http://dx.doi.org/10.1107/S205979831700969X |
work_keys_str_mv | AT thornandrea auspexagraphicaltoolforxraydiffractiondataanalysis AT parkhurstjames auspexagraphicaltoolforxraydiffractiondataanalysis AT emsleypaul auspexagraphicaltoolforxraydiffractiondataanalysis AT nichollsroberta auspexagraphicaltoolforxraydiffractiondataanalysis AT vollmarmelanie auspexagraphicaltoolforxraydiffractiondataanalysis AT evansgwyndaf auspexagraphicaltoolforxraydiffractiondataanalysis AT murshudovgaribn auspexagraphicaltoolforxraydiffractiondataanalysis |