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Managing and mining protein crystallization data
Author(s) -
Amin Abdullah A.,
Faux Noel G.,
Fenalti Gustavo,
Williams Geoffrey,
Bernadou Adam,
Daglish Ben,
Keefe Karen,
Middleton Shayne,
Rae Joseph,
Tetis Kosmas,
Law Ruby H.P.,
Fulton Kate F.,
Rossjohn Jamie,
Whisstock James C.,
Buckle Ashley M.
Publication year - 2005
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.20776
Subject(s) - crystallization , executable , bottleneck , graphical user interface , computer science , documentation , protein crystallization , data curation , interface (matter) , throughput , data mining , engineering , operating system , embedded system , wireless , bubble , chemical engineering , maximum bubble pressure method
The crystallization of macromolecules remains a major bottleneck in structural biology. The routine screening of more than one thousand crystallization conditions and subsequent optimization by fine screening presents a challenge to conventional laboratory notebook keeping. In addition, the development of high-throughput robotic crystallization and imaging systems presents a pressing need for low-cost laboratory information management system (LIMS). Here we describe CLIMS2, a crystallization LIMS that features a simple, user-friendly graphical interface, allowing the storage, management, retrieval and mining of crystallization data. The CLIMS2 executable and documentation is freely available at http://clims.med.monash.edu.au.