Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow Print PDF (438K) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (14)
Right arrowRequest Permissions
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Le Crom, S.
Right arrow Articles by Marc, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Le Crom, S.
Right arrow Articles by Marc, P.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 2002, Vol. 30, No. 1 76-79
© 2002 Oxford University Press

yMGV: helping biologists with yeast microarray data mining

Stéphane Le Crom, Frédéric Devaux, Claude Jacq and Philippe Marc*

Laboratoire de Génétique Moléculaire, CNRS UMR8541, Ecole Normale Supérieure, 46 Rue d‘Ulm, 75005 Paris, France

yMGV (yeast Microarray Global Viewer) was designed to provide biologists with meaningful information from genome-wide yeast expression data. The database includes most of the available expression data published on yeast microarrays over the last 4 years. It provides customizable tools for the rapid visualization of expression profiles associated with a set of genes from all published experiments. It also allows users to compare the results from different publications so that they can identify genes with common expression profiles. We used yMGV to perform global analyses to find a gene expression profile specific for given biological conditions and to locate functional gene clusters on chromosomes. Other organisms will be added to this database. yMGV is accessible on the web at http://transcriptome.ens.fr/ymgv.

* To whom correspondence should be addressed. Tel: +33 1 44 32 35 46; Fax: +33 1 44 32 37 30; Email: pmarc{at}biologie.ens.fr


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 BioinformaticsHome page
M. A. Hibbs, D. C. Hess, C. L. Myers, C. Huttenhower, K. Li, and O. G. Troyanskaya
Exploring the functional landscape of gene expression: directed search of large microarray compendia
Bioinformatics, October 15, 2007; 23(20): 2692 - 2699.
[Abstract] [Full Text] [PDF]

Home page
 Mol. Cell. Biol.Home page
P. Godard, A. Urrestarazu, S. Vissers, K. Kontos, G. Bontempi, J. van Helden, and B. Andre
Effect of 21 Different Nitrogen Sources on Global Gene Expression in the Yeast Saccharomyces cerevisiae
Mol. Cell. Biol., April 15, 2007; 27(8): 3065 - 3086.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
N. Harish, R. Gupta, P. Agarwal, V. Scaria, and B. Pillai
DyNAVacS: an integrative tool for optimized DNA vaccine design.
Nucleic Acids Res., July 1, 2006; 34(Web Server issue): W264 - W266.
[Abstract] [Full Text] [PDF]

Home page
 J. Biol. Chem.Home page
J. Zaim, E. Speina, and A. M. Kierzek
Identification of New Genes Regulated by the Crt1 Transcription Factor, an Effector of the DNA Damage Checkpoint Pathway in Saccharomyces cerevisiae
J. Biol. Chem., January 7, 2005; 280(1): 28 - 37.
[Abstract] [Full Text] [PDF]

Home page
 J. Biol. Chem.Home page
M. W. Van Dyke, L. D. Nelson, R. G. Weilbaecher, and D. V. Mehta
Stm1p, a G4 Quadruplex and Purine Motif Triplex Nucleic Acid-binding Protein, Interacts with Ribosomes and Subtelomeric Y' DNA in Saccharomyces cerevisiae
J. Biol. Chem., June 4, 2004; 279(23): 24323 - 24333.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
G. Lelandais, S. Le Crom, F. Devaux, S. Vialette, G. M. Church, C. Jacq, and P. Marc
yMGV: a cross-species expression data mining tool
Nucleic Acids Res., January 1, 2004; 32(90001): D323 - 325.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.