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Comparative Bioinformatics

Group leader:  Cedric Notredame

The main focus of the group is the development of novel algorithms for the comparison of multiple biological sequences. Multiple comparisons have the advantage of precisely revealing evolutionary traces, thus allowing the identification of functional constraints imposed on the evolution of biological entities. Most comparisons are currently carried out on the basis of sequence similarity. Our goal is to extend this scope by allowing comparisons based on any relevant biological signal such as sequence homology, structural similarity, genomic structure, functional similarity and more generally any signal that may be identified within biological sequences. Using such heterogeneous signals serves two complementary purposes: (i) producing better models that take advantage of the signal evolutionary resilience, (ii) improving our understanding of the evolutionary processes that lead to the diversification of biological functions. All the applications related to our work are provided to the community through an international network of web servers that can be accessed from

Ongoing projects include:Analysis of Copy Number Variations in eukaryotic genomesImprovement of RNA Multiple Sequence AlignmentsPost Processing of Multiple Sequence AlignmentsBenchmarking and Validation of Multiple Sequence Alignment MethodsCombination of sequence and structural informationProtein Structure comparisonsIncorporation of Genomic information within multiple sequence alignmentsAnalysis of the sequence/function relationshipMultiple Genome ComparisonsEvolution of Bacterial genomes

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