On the use of the merging R factor as a quality indicator for X-ray data

Manfred S. Weiss; Rolf Hilgenfeld

doi:10.1107/S0021889897003907

On the use of the merging R factor as a quality indicator for X-ray data

Manfred S. Weiss, Rolf Hilgenfeld

Institute of Biochemistry

Leibniz Institute for Age Research - Fritz Lipmann Institute

192 Citations (Scopus)

Abstract

By comparison of the accuracy and the merging R factor (R_merge) of artificially created X-ray data sets, it is demonstrated that R_merge is a poor predictor for the precision of X-ray data. The more often a given reflection is observed, the more precise the average intensity is, whereas R_merge has a tendency to be higher at higher data redundancy.

Original language	English
Journal	Journal of Applied Crystallography
Volume	30
Issue number	2
Pages (from-to)	203-205
Number of pages	3
ISSN	0021-8898
DOIs	https://doi.org/10.1107/S0021889897003907
Publication status	Published - 01.04.1997

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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Academic Focus: Center for Infection and Inflammation Research (ZIEL)

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abstract = "By comparison of the accuracy and the merging R factor (Rmerge) of artificially created X-ray data sets, it is demonstrated that Rmerge is a poor predictor for the precision of X-ray data. The more often a given reflection is observed, the more precise the average intensity is, whereas Rmerge has a tendency to be higher at higher data redundancy.",

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AB - By comparison of the accuracy and the merging R factor (Rmerge) of artificially created X-ray data sets, it is demonstrated that Rmerge is a poor predictor for the precision of X-ray data. The more often a given reflection is observed, the more precise the average intensity is, whereas Rmerge has a tendency to be higher at higher data redundancy.

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On the use of the merging R factor as a quality indicator for X-ray data

Abstract

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