ISPyB: an information management system for synchrotron macromolecular crystallography
Author(s) -
S. Delageniere,
Patrice Brenchereau,
L. Launer,
Alun Ashton,
Ricardo M. F. Leal,
Stéphanie Veyrier,
José Gabadinho,
E. Gordon,
S. D. Jones,
Karl Levik,
Seán McSweeney,
Stéphanie Monaco,
Max Nanao,
Darren Spruce,
Olof Svensson,
Martin Walsh,
Gordon A. Leonard
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr535
Subject(s) - synchrotron , data management , computer science , raw data , data mining , tracking (education) , ranking (information retrieval) , experimental data , computational science , database , information retrieval , optics , physics , psychology , pedagogy , statistics , mathematics , programming language
Individual research groups now analyze thousands of samples per year at synchrotron macromolecular crystallography (MX) resources. The efficient management of experimental data is thus essential if the best possible experiments are to be performed and the best possible data used in downstream processes in structure determination pipelines. Information System for Protein crystallography Beamlines (ISPyB), a Laboratory Information Management System (LIMS) with an underlying data model allowing for the integration of analyses down-stream of the data collection experiment was developed to facilitate such data management.
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