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Online data analysis at the ESRF bioSAXS beamline, BM29
Author(s) -
Brennich Martha Elisabeth,
Kieffer Jérôme,
Bonamis Guillaume,
De Maria Antolinos Alejandro,
Hutin Stephanie,
Pernot Petra,
Round Adam
Publication year - 2016
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s1600576715024462
Subject(s) - beamline , pipeline (software) , automation , data reduction , computer science , data acquisition , data collection , computer graphics (images) , data mining , engineering , optics , operating system , physics , mechanical engineering , beam (structure) , statistics , mathematics
High‐throughput small‐angle X‐ray scattering on proteins in solution (bioSAXS) at synchrotron sources is a commonly used technique in structural biology, which relies on highly automated data acquisition. Data reduction and primary analysis for bioSAXS experiments consist of a well defined series of individual tasks, the automation of which allows a first easy assessment of the quality of collected data and the adjustment of collection strategies if necessary. This article describes both the logic and the technical implementation of the automated processing pipeline for bioSAXS data at the ESRF BM29 beamline using the EDNA framework.

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