Title :
XML Management for Bioinformatics Applications
Author :
Strömbäck, Lena ; Freire, Juliana
Author_Institution :
Dept. of Comput. & Inf. Sci., Linkoping Univ., Linkoping, Sweden
Abstract :
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.
Keywords :
XML; bioinformatics; data analysis; relational databases; scientific information systems; XML management; XML storage; bioinformatics; data analysis; data sharing; data-intensive process; relational databases; scientific data storage; system biology; Bioinformatics; Biological system modeling; Biomedical informatics; Data models; Mathematical model; Relational databases; XML; Scientific data management; XML standardization; bioinformatics; hybrid XML management;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2010.100
