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XML Management for Bioinformatics Applications

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2 Author(s)
Stromback, L. ; Dept. of Comput. & Inf. Sci., Linkoping Univ., Linkoping, Sweden ; Freire, J.

Scientific exploration has become a data-intensive process, and increasing amounts of data need to be stored, analyzed, and shared. XML can help address these needs. As concrete examples from systems biology show, native XML storage can be combined with traditional relational databases to offer an effective, usable solution for storing scientific data.

Published in:

Computing in Science & Engineering  (Volume:13 ,  Issue: 5 )

Date of Publication:

Sept.-Oct. 2011

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