Evidence map›Paper›PMID 32254063›Full record

ArticleActa crystallographica. Section D, Structural biology2020

Scaling diffraction data in the DIALS software package: algorithms and new approaches for multi-crystal scaling.

James Beilsten-Edmands, Graeme Winter, Richard Gildea, James Parkhurst, David Waterman, Gwyndaf Evans

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

106 citing papers in PubMed.

  1. Article
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  3. Semi-automated MicroED system unveils multiple polymorphs in fish-derived guanine crystals.Acta crystallographica. Section C, Structural chemistry · 2026
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  7. Crystal structure determination of an FeActa crystallographica. Section E, Crystallographic communications · 2026
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46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

James Beilsten-EdmandsDiamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.
Graeme WinterDiamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.
Richard GildeaDiamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.
James ParkhurstDiamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.ORCID 0000-0002-9120-8354
David WatermanSTFC, Rutherford Appleton Laboratory, Didcot OX11 0FA, United Kingdom.
Gwyndaf EvansDiamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.ORCID 0000-0002-6079-2201

Funding

DIALS: New Computational Methods to Enable Challenging Crystallographic ExperimentsR01GM117126 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SAUTER, NICHOLAS K · 2016 to 2023
$6.1M
Realizing New Horizons in X-ray Crystallography Data ProcessingR01GM095887 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SAUTER, NICHOLAS K · 2011 to 2014
$1.5M
NIGMS NIH HHS R01 GM095887NIGMS NIH HHS R01 GM117126NIH HHS GM095887NIH HHS GM117126Wellcome TrustWellcome Trust 202933/Z/16/Z
6 · The paper itself

Abstract

In processing X-ray diffraction data, the intensities obtained from integration of the diffraction images must be corrected for experimental effects in order to place all intensities on a common scale both within and between data collections. Scaling corrects for effects such as changes in sample illumination, absorption and, to some extent, global radiation damage that cause the measured intensities of symmetry-equivalent observations to differ throughout a data set. This necessarily requires a prior evaluation of the point-group symmetry of the crystal. This paper describes and evaluates the scaling algorithms implemented within the DIALS data-processing package and demonstrates the effectiveness and key features of the implementation on example macromolecular crystallographic rotation data. In particular, the scaling algorithms enable new workflows for the scaling of multi-crystal or multi-sweep data sets, providing the analysis required to support current trends towards collecting data from ever-smaller samples. In addition, the implementation of a free-set validation method is discussed, which allows the quantification of the suitability of scaling-model and algorithm choices.

Indexed as

AlgorithmsCrystallography, X-RaySoftwareX-Ray DiffractionMacromolecular SubstancesMacromolecular Substancescrystallographydata analysisdiffractionmulti-crystalscaling

Identifiers

PMID32254063
PMCPMC7137103

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.