5th International Workshop on Data Integration in the Life Sciences
Evry, France, June 25-27 2008
For several years now, there has been an exponential growth of the
amount of life science data (e.g., sequenced complete genomes, 3D
structures, DNA chips, Mass spectroscopy data) generated by high
throughput experiments. Large amounts of data are distributed across
many sources over the web, with high degree of semantic heterogeneity
and different levels of quality. These data must be combined with
other data and processed by bioinformatics tools deployed on powerful
and efficient platforms for patterns, similarities, and unusual
occurrences to be observed. Carrying out analyses of complex,
voluminous, and heterogeneous data and guiding the analysis of data is
thus of paramount importance and necessitates data integration
techniques to be involved.
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http://www.ehealthserver.com/ontology/index.php?option=com_content&task=view&id=82&Itemid=1
Sincerely,
Ruslan David, MD
IFOMIS
eHealth Ontology Project
http://www.ehealthserver.com/ontology/