Tightly integrated single- and multi-crystal data collection strategy calculation and parallelized data processing in JBluIce beamline control system

The calculation of single- and multi-crystal data collection strategies and a data processing pipeline have been tightly integrated into the macromolecular crystallographic data acquisition and beamline control software JBluIce. Both tasks employ wrapper scripts around existing crystallographic soft...

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Veröffentlicht in:Journal of applied crystallography. - 1998. - 47(2014), Pt 6 vom: 01. Dez., Seite 1992-1999
1. Verfasser: Pothineni, Sudhir Babu (VerfasserIn)
Weitere Verfasser: Venugopalan, Nagarajan, Ogata, Craig M, Hilgart, Mark C, Stepanov, Sergey, Sanishvili, Ruslan, Becker, Michael, Winter, Graeme, Sauter, Nicholas K, Smith, Janet L, Fischetti, Robert F
Format: Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Journal of applied crystallography
Schlagworte:Journal Article Grid Engine X-ray crystallography automated data processing multi-crystal data collection strategies
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520 |a The calculation of single- and multi-crystal data collection strategies and a data processing pipeline have been tightly integrated into the macromolecular crystallographic data acquisition and beamline control software JBluIce. Both tasks employ wrapper scripts around existing crystallographic software. JBluIce executes scripts through a distributed resource management system to make efficient use of all available computing resources through parallel processing. The JBluIce single-crystal data collection strategy feature uses a choice of strategy programs to help users rank sample crystals and collect data. The strategy results can be conveniently exported to a data collection run. The JBluIce multi-crystal strategy feature calculates a collection strategy to optimize coverage of reciprocal space in cases where incomplete data are available from previous samples. The JBluIce data processing runs simultaneously with data collection using a choice of data reduction wrappers for integration and scaling of newly collected data, with an option for merging with pre-existing data. Data are processed separately if collected from multiple sites on a crystal or from multiple crystals, then scaled and merged. Results from all strategy and processing calculations are displayed in relevant tabs of JBluIce 
650 4 |a Journal Article 
650 4 |a Grid Engine 
650 4 |a X-ray crystallography 
650 4 |a automated data processing 
650 4 |a multi-crystal data collection strategies 
700 1 |a Venugopalan, Nagarajan  |e verfasserin  |4 aut 
700 1 |a Ogata, Craig M  |e verfasserin  |4 aut 
700 1 |a Hilgart, Mark C  |e verfasserin  |4 aut 
700 1 |a Stepanov, Sergey  |e verfasserin  |4 aut 
700 1 |a Sanishvili, Ruslan  |e verfasserin  |4 aut 
700 1 |a Becker, Michael  |e verfasserin  |4 aut 
700 1 |a Winter, Graeme  |e verfasserin  |4 aut 
700 1 |a Sauter, Nicholas K  |e verfasserin  |4 aut 
700 1 |a Smith, Janet L  |e verfasserin  |4 aut 
700 1 |a Fischetti, Robert F  |e verfasserin  |4 aut 
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