The database VBASE2 provides germ-line sequences of human and mouse immunoglobulin variable (V) genes. It acts as an interconnecting platform between several existing self-contained data systems: VBASE2 integrates genome sequence data and links to the V genes in the Ensembl Genome Browser. For a single V gene sequence, all references to the EMBL nucleotide sequence database are provided, including references for V(D)J rearrangements. Furthermore, cross-references to the VBASE database, the IMGT database and the Kabat database are available. A DAS server allows the display of VBASE2 V genes within the Ensembl Genome Browser. VBASE2 can be accessed either by a webbased text query or by a sequence similarity search with the DNAPLOT software. VBASE2 is available at http://www.vbase2.org, and the DAS server is located at http://www.dnaplot.com/das.

PRODORIC is a database that provides annotated information on the regulation of gene expression in prokaryotes. It integrates a large compilation of gene regulatory data including transcription factor binding sites, promoter structures and gene expression patterns. The whole dataset is manually curated and relies on published results extracted from the scientific literature. The current extended version of PRODORIC contains gene regulatory data for several new microorganisms. Major improvements were realized in the design of the web interface and the accessibility of the stored information. The database was further improved by the implementation of various new tools for the elucidation of gene regulatory interactions. Thus, the PRODORIC platform represents a framework for the interactive exploration, prediction and evaluation of gene regulatory networks in prokaryotes. PRODORIC is accessible at http://www.prodoric.de.

Although the entire mouse genome has been sequenced, there remain challenges concerning the elucidation of particular complex and polymorphic genomic loci. In the murine Igh locus, different haplotypes exist in different inbred mouse strains. For example, the Ighb haplotype sequence of the Mouse Genome Project strain C57BL/6 differs considerably from the Igha haplotype of BALB/c, which has been widely used in the analyses of Ab responses. We have sequenced and annotated the 3′ half of the Igha locus of 129S1/SvImJ, covering the CH region and approximately half of the VH region. This sequence comprises 128 VH genes, of which 49 are judged to be functional. The comparison of the Igha sequence with the homologous Ighb region from C57BL/6 revealed two major expansions in the germline repertoire of Igha. In addition, we found smaller haplotype-specific differences like the duplication of five VH genes in the Igha locus. We generated a VH allele table by comparing the individual VH genes of both haplotypes. Surprisingly, the number and position of DH genes in the 129S1 strain differs not only from the sequence of C57BL/6 but also from the map published for BALB/c. Taken together, the contiguous genomic sequence of the 3′ part of the Igha locus allows a detailed view of the recent evolution of this highly dynamic locus in the mouse.

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To provide an integrated bioinformatics platform for a systems biology approach to the biology of pseudomonads in infection and biotechnology the database SYSTOMONAS (SYSTems biology of pseudOMONAS) was established. Besides our own experimental metabolome, proteome and transcriptome data, various additional predictions of cellular processes, such as gene-regulatory networks were stored. Reconstruction of metabolic networks in SYSTOMONAS was achieved via comparative genomics. Broad data integration is realized using SOAP interfaces for the well established databases BRENDA, KEGG and PRODORIC. Several tools for the analysis of stored data and for the visualization of the corresponding results are provided, enabling a quick understanding of metabolic pathways, genomic arrangements or promoter structures of interest. The focus of SYSTOMONAS is on pseudomonads and in particular Pseudomonas aeruginosa, an opportunistic human pathogen. With this database we would like to encourage the Pseudomonas community to elucidate cellular processes of interest using an integrated systems biology strategy. The database is accessible at .