XML Management for Bioinformatics Applications
2011 (English)In: Computing in science & engineering (Print), ISSN 1521-9615, E-ISSN 1558-366X, Vol. 13, no 5, 12-22 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2011. Vol. 13, no 5, 12-22 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-70524DOI: 10.1109/MCSE.2010.100ISI: 000294096200003OAI: oai:DiVA.org:liu-70524DiVA: diva2:440099