Evidence map›Paper›PMID 16845056›Full record

ArticleNucleic acids research2006

Next station in microarray data analysis: GEPAS.

David Montaner, Joaquín Tárraga, Jaime Huerta-Cepas, Jordi Burguet, Juan M Vaquerizas, Lucía Conde, Pablo Minguez, Javier Vera, Sach Mukherjee, Joan Valls and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  20. High-resolution genome-wide analysis of chromosomal alterations in elastofibroma.Virchows Archiv : an international journal of pathology · 2010
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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

15 authors.

David MontanerBioinformatics Department, Centro de Investigación Príncipe Felipe, Autopista del Saler 16, E46013, Valencia, Spain.
Joaquín Tárraga
Jaime Huerta-Cepas
Jordi Burguet
Juan M Vaquerizas
Lucía Conde
Pablo Minguez
Javier Vera
Sach Mukherjee
Joan Valls
Miguel A G Pujana
Eva Alloza
Javier Herrero
Fátima Al-Shahrour
Joaquín Dopazo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Gene Expression Profile Analysis Suite (GEPAS) has been running for more than four years. During this time it has evolved to keep pace with the new interests and trends in the still changing world of microarray data analysis. GEPAS has been designed to provide an intuitive although powerful web-based interface that offers diverse analysis options from the early step of preprocessing (normalization of Affymetrix and two-colour microarray experiments and other preprocessing options), to the final step of the functional annotation of the experiment (using Gene Ontology, pathways, PubMed abstracts etc.), and include different possibilities for clustering, gene selection, class prediction and array-comparative genomic hybridization management. GEPAS is extensively used by researchers of many countries and its records indicate an average usage rate of 400 experiments per day. The web-based pipeline for microarray gene expression data, GEPAS, is available at http://www.gepas.org.

Indexed as

SoftwareCluster AnalysisGene Expression ProfilingInternetOligonucleotide Array Sequence AnalysisPolymorphism, GeneticUser-Computer Interface

Identifiers

PMID16845056
PMCPMC1538867

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.