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Nucleic Acids Research, 2004, Vol. 32, Database issue D307-D310
© 2004 Oxford University Press

MolliGen, a database dedicated to the comparative genomics of Mollicutes

Aurélien Barré1, Antoine de Daruvar1 and Alain Blanchard*

INRA—Université de Bordeaux 2, IBVM, Bordeaux, France and 1 Université de Bordeaux 2, Centre de Bioinformatique de Bordeaux, Bordeaux, France

*To whom correspondence should be addressed at INRA, Institut de Biologie Végétale Moléculaire, UMR Génomique Développement Pouvoir Pathogène, 71 avenue Edouard Bourlaux, BP 81, F-33883 Villenave D’Ornon Cedex, France. Tel: +33 5 57 12 23 93; Fax: +33 5 57 12 23 69; Email: ablancha{at}bordeaux.inra.fr

Bacteria belonging to the class Mollicutes were among the first ones to be selected for complete genome sequencing because of the minimal size of their genomes and their pathogenicity for humans and a broad range of animals and plants. At this time six genome sequences have been publicly released (Mycoplasma genitalium, Mycoplasma pneumoniae, Ureaplasma urealyticum-parvum, Mycoplasma pulmonis, Mycoplasma penetrans and Mycoplasma gallisepticum) and as the number of available mollicute genomes increases, comparative genomics analysis within this model group of organisms becomes more and more instructive. However, such an analysis is difficult to carry out without a suitable platform gathering not only the original annotations but also relevant information available in public databases or obtained by applying common bioinformatics methods. With the aim of solving these difficulties, we have developed a web-accessible database named MolliGen (http://cbi.labri.fr/outils/molligen/). After selecting a set of genomes the user can launch various types of search based on annotation, position on the chromosomes or sequence similarity. In addition, relationships of putative orthology have been precomputed to allow differential genome queries. The results are presented in table format with multiple links to public databases and to bioinformatic analyses such as multiple alignments or BLAST search. Specific tools were also developed for the graphical visualization of the results, including a multi- genome browser for displaying dynamic pictures with clickable objects and for viewing relationships of precomputed similarity. MolliGen is designed to integrate all the complete genomes of mollicutes as they become available.


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