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Cette norme sera etendue aux CRB gerant des collections d’echantillons biologiques d’origines animale et vegetale en 2011. Cette evolution a ete rendue necessaire, tout en etant facilitee, par la mise en place de reseaux d’excellence de CRB/biobanques aux niveaux national (reseau des biobanques [6]), europeen (BBMRI [7], EMbaRC [8], EMBRC [9])1 et international (P3G [10]). C’est dans ce contexte que le projet « Infrastructure informatique interoperable pour les CRB » (I3-CRB [11]) a ete finance lors de l’appel a projet 2008 du Groupement d’interet scientifique « infrastructures en biologie sante et agronomie » (GIS IBiSA) et du CCRB. La communaute nationale des CRB a emis le souhait de disposer d’une ressource referencant les collections biologiques qu’ils hebergent. Le projet I3-CRB a donc developpe un annuaire des CRB pour faciliter les echanges d’echantillons et ameliorer la visibilite des collections biologiques. Un tel annuaire permet en effet aux chercheurs de savoir quel CRB contacter afin d’obtenir les ressources

International audience; We have developed a specialized database, HBVdb (http://hbvdb.ibcp.fr), allowing the researchers to investigate the genetic variability of Hepatitis B Virus (HBV) and viral resistance to treatment. HBV is a major health problem worldwide with more than 350 million individuals being chronically infected. HBV is an enveloped DNA virus that replicates by reverse transcription of an RNA intermediate. HBV genome is optimized, being circular and encoding four overlapping reading frames. Indeed, each nucleotide of the genome takes part in the coding of at least one protein. However, HBV shows some genome variability leading to at least eight different genotypes and recombinant forms. The main drugs used to treat infected patients are nucleos(t)ides analogs (reverse transcriptase inhibitors). Unfortunately, HBV mutants resistant to these drugs may be selected and be responsible for treatment failure. HBVdb contains a collection of computer-annotated sequences based on manually annotated reference genomes. The database can be accessed through a web interface that allows static and dynamic queries and offers integrated generic sequence analysis tools and specialized analysis tools (e.g. annotation, genotyping, drug resistance profiling).

Motivation: Most of the protein tyrosine kinases found in bacteria have been recently classified in a new family, termed BY-kinase. Indeed, they share no sequence homology with their eukaryotic counterparts and have no known eukaryotic homologues. They are involved in several biological functions (e.g. capsule biosynthesis, antibiotic resistance, virulence mechanism). Thus, they can be considered interesting therapeutic targets to develop new drugs to treat infectious diseases. However, their identification is rendered difficult due to slow progress in their structural characterization and comes most often from biochemical experiments. Moreover BY-kinase sequences are related to many other bacterial proteins involved in several biological functions (e.g. ParA family proteins). Accordingly, their annotations in generalist databases, sequence analysis and classification remain partial and inhomogeneous and there is no bioinformatics resource dedicated to these proteins. Results: The combination of similarity search with sequence-profile alignment, pattern matching and sliding window computation to detect the tyrosine cluster was used to identify BY-kinase sequences in UniProt Knowledgebase. Cross-validations with keywords searches, pattern matching with several patterns and checking of motifs conservation in multiple sequence alignments were performed. Our pipeline identified 640 sequences as BY-kinases and allowed the definition of a PROSITE pattern that is the signature of the BY-kinases. The sequences identified by our pipeline as BY-kinases share a good sequence similarity with BY-kinases that have already been biochemically characterized, and they all bear the characteristic motifs of the catalytic domain, including the three Walker-like motifs followed by a tyrosine cluster. Availability: http://bykdb.ibcp.fr Contact: c.combet@ibcp.fr