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
http://www.tcoffee.orgOngoing projects include:Analysis of Copy Number Variations in eukaryotic genomes
Improvement of RNA Multiple Sequence Alignments
Post Processing of Multiple Sequence Alignments
Benchmarking and Validation of Multiple Sequence Alignment Methods
Combination of sequence and structural information
Protein Structure comparisons
Incorporation of Genomic information within multiple sequence alignments
Analysis of the sequence/function relationship
Multiple Genome Comparisons
Evolution of Bacterial genomes
Last modification:
11/10/2007