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6. Conclusion
Bioinformatics data have special characteristics: they are stored in distributed databases, are highly heterogeneous, reflect expertise and form a complex web-based network. Jointly exploiting a data set, i.e. integrating these data, is therefore a particularly difficult task, since it involves dealing with data that may be contradictory and very often redundant. Nevertheless, the advancement of knowledge in biology depends on exploiting the wealth of this highly complementary information.
In this article, we provide an overview of existing databases and integration approaches. We have shown that certain easy-to-use solutions (portals) are well-suited to point-in-time information retrieval, since they are capable of unifying syntactically heterogeneous data. However, data warehousing solutions, which are heavier to implement, are the only ones capable of tackling...
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Conclusion
Glossary – Definitions
Bibliography
Databases
Sites of the main databases cited in this document
DDBJ http://www.ddbj.nig.ac.jp/ (page consulted on January 20, 2015)
Ensembl http://www.ensembl.org/index.html (page consulted on January 20,...
Events
DILS: Data Integration in the Life Sciences
Annual international conference dedicated to the field of biological data integration
SSDBM: Statistical and Scientific Data Base Management
Annual international conference dedicated to data management in scientific and statistical databases
Standards and norms
Standards for representing provenance
PROV-Overview http://www.w3.org/TR/prov-overview/ (page consulted on January 20, 2015)
The XML (Extensible Markup Language) standard http://www.w3.org/XML/...
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