Laboratory of Computational and Quantitative Biology (LCQB)
UMR 7238 CNRS - Sorbonne Université
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yMGV: a cross-species expression data mining tool.
| Title | yMGV: a cross-species expression data mining tool. |
| Publication Type | Journal Article |
| Year of Publication | 2004 |
| Authors | Lelandais, G, Le Crom, S, Devaux, F, Vialette, S, Church, GM, Jacq, C, Marc, P |
| Journal | Nucleic Acids Res |
| Volume | 32 |
| Issue | Database issue |
| Pagination | D323-5 |
| Date Published | 2004 Jan 1 |
| ISSN | 1362-4962 |
| Keywords | Computational Biology, Databases, Genetic, Gene Expression Profiling, Gene Expression Regulation, Fungal, Genes, Fungal, Genomics, Internet, Oligonucleotide Array Sequence Analysis, Saccharomyces cerevisiae, Schizosaccharomyces, User-Computer Interface |
| Abstract | 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. |
| DOI | 10.1093/nar/gkh135 |
| Alternate Journal | Nucleic Acids Res. |
| PubMed ID | 14681424 |
| PubMed Central ID | PMC308869 |
