Evidence map›Paper›PMID 14681424›Full record

ArticleNucleic acids research2004

yMGV: a cross-species expression data mining tool.

Gaëlle Lelandais, Stéphane Le Crom, Frédéric Devaux, Stéphane Vialette, George M Church, Claude Jacq, Philippe Marc

Abstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Cross species analysis of microarray expression data.Bioinformatics (Oxford, England) · 2009
    Review
  2. Article
  3. Article
  4. Navigating public microarray databases.Comparative and functional genomics · 2004
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gaëlle LelandaisLaboratoire de Génétique Moléculaire, CNRS UMR8541, Ecole Normale Supérieure, Paris, France.
Stéphane Le Crom
Frédéric Devaux
Stéphane Vialette
George M Church
Claude Jacq
Philippe Marc

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Databases, GeneticGene Expression ProfilingGene Expression Regulation, FungalGenomicsOligonucleotide Array Sequence AnalysisComputational BiologyGenes, FungalInternetSaccharomyces cerevisiaeSchizosaccharomycesUser-Computer Interface

Identifiers

PMID14681424
PMCPMC308869

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.