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Nucleic Acids Research, 2004, Vol. 32, Database issue D323-D325
© 2004 Oxford University Press

yMGV: a cross-species expression data mining tool

Gaëlle Lelandais1,3, Stéphane Le Crom2, Frédéric Devaux1, Stéphane Vialette1, George M. Church4, Claude Jacq1 and Philippe Marc*,4

1 Laboratoire de Génétique Moléculaire, CNRS UMR8541 and 2 Laboratoire de Biologie Moléculaire du Développement, INSERM U368, Ecole Normale Supérieure, 46 Rue d’Ulm, 75005 Paris, France, 3 Equipe de Bioinformatique Génomique et Moléculaire, INSERM E346 Université Paris 7, case 7113, 2 place Jussieu, 75005 Paris, France and 4 Lipper Center for Computational Genetics and Department of Genetics, Harvard Medical School, 77 Louis Pasteur Avenue, Boston, MA 02115, USA

*To whom correspondence should be addressed. Tel: +1 617 432 4136; Fax: +1 617 432 7266; Email: pmarc{at}genetics.med.harvard.edu

The yeast Microarray Global Viewer (yMGV @ http://transcriptome.ens.fr/ymgv) was created 3 years ago as a database that houses a collection of Saccharomyces cerevisiae and Schizosaccharo myces pombe microarray data sets published in 82 different articles. yMGV couples data mining tools with a user-friendly web interface so that, with a few mouse clicks, one can identify the conditions that affect the expression of a gene or list of genes regulated in a set of experiments. One of the major new features we present here is a set of tools that allows for inter-organism comparisons. This should enable the fission yeast community to take advantage of the large amount of available information on budding yeast transcriptome. New tools and ongoing developments are also presented here.


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