A deductive object-oriented database for data intensive application development

Author(s):  
Alvaro A. A. Fernandes ◽  
Maria L. Barja ◽  
Norman W. Paton ◽  
M. Howard Williams
2013 ◽  
Vol 19 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ian Rees ◽  
Ed Langley ◽  
Wah Chiu ◽  
Steven J. Ludtke

AbstractTransmission electron microscopy and associated methods, such as single particle analysis, two-dimensional crystallography, helical reconstruction, and tomography, are highly data-intensive experimental sciences, which also have substantial variability in experimental technique. Object-oriented databases present an attractive alternative to traditional relational databases for situations where the experiments themselves are continually evolving. We present EMEN2, an easy to use object-oriented database with a highly flexible infrastructure originally targeted for transmission electron microscopy and tomography, which has been extended to be adaptable for use in virtually any experimental science. It is a pure object-oriented database designed for easy adoption in diverse laboratory environments and does not require professional database administration. It includes a full featured, dynamic web interface in addition to APIs for programmatic access. EMEN2 installations currently support roughly 800 scientists worldwide with over 1/2 million experimental records and over 20 TB of experimental data. The software is freely available with complete source.


2013 ◽  
Vol 17 (2) ◽  
pp. 569-583 ◽  
Author(s):  
Deepak Eachempati ◽  
Alan Richardson ◽  
Siddhartha Jana ◽  
Terrence Liao ◽  
Henri Calandra ◽  
...  

2002 ◽  
Author(s):  
David V. Oliver ◽  
Roy V. Ladner ◽  
Frank P. McCreedy ◽  
Ruth A. Wilson

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