Integration of biological data : The familial hypercholesterolemia

The current informative environment is characterized by strongly distributed data. These abundant data are generally scattered, because there are often multiple systems conceived each to be effective for the functions for which it is specialized. These data are also heterogeneous. They can be several types: structured (relational, object oriented), semi-structured (HTML, XML, graph) Or even not structured (text, images, sound). In such a context, the need of integration is more and more needed. Our work is situated in this context and aims at the construction of a data integration platform for the biological domain. And this, for the study of proteins related to cardiovascular disease and particularly the weak density lipoprotein receiver (RLDL) involved in the familial hypercholesterolemia (FH). The goal of the platform is to help biologists to search in sources of public and\or private data, heterogeneous and distributed on the Web, aiming at automating the research procedures, masking to the biologists the Heterogeneousness and the distribution (casting) of the sources(springs) of data as well as supplying tools for the synthesis, correlations and diagnosis.