Managing and mining protein crystallization data.
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.
Amin
Abdullah A
AA
Victorian Bioinformatics Consortium, Monash University, Clayton, Victoria, Australia.
Faux
Noel G
NG
Fenalti
Gustavo
G
Williams
Geoffrey
G
Bernadou
Adam
A
Daglish
Ben
B
Keefe
Karen
K
Middleton
Shayne
S
Rae
Joseph
J
Tetis
Kosmas
K
Law
Ruby H P
RH
Fulton
Kate F
KF
Rossjohn
Jamie
J
Whisstock
James C
JC
Buckle
Ashley M
AM
D003196:Computer Graphics; D003460:Crystallization; D030562:Databases, Protein; D007256:Information Systems; D046911:Macromolecular Substances / Q000737:chemistry; D011506:Proteins / Q000737:chemistry* / Q000302:isolation & purification
D046911:Macromolecular Substances; D011506:Proteins