ゲノム情報科学研究教育機構  アブストラクト
Date June 19, 2006
Speaker Claire Gaugain, Centre de Bio-informatique de Bordeaux Universite de Bordeaux 2
Title Integration and representation of biological data
Abstract   Functional genomics approaches should help us to better understand how the cell works by highlighting the relationships between molecular mechanisms and cellular functions. They produce large amount of highly heterogeneous data that need to be integrated. This integration has become a major challenge in bioinformatics. An example, which typically illustrates this need for integration, is the interpretation of expression profiles obtained using microarray experiments. Once clustering methods have been used to define groups of potentially co-regulated genes, one would like to find out if there is any known information (such as those contained in the annotations) which already bring theses genes together in a significant manner.
  In this aim, various methods and tools have been developed. Among them, BlastSets (http://cbi.labri.fr/outils/BlastSets/) proposes a general strategy which consists in building, and collecting in a database, sets of genes attached to a biological information (i.e. set of genes that are annotated as being involved in a given biological process). The composition of these sets can then be compared with the composition of any query set (such as a group of coregulated genes) in order to identify correlation.
  Our results show that the effectiveness of this approach strongly relies on the choice of the method used to build sets that capture biological information.
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