Evidence map›Paper›PMID 15980565›Full record

ArticleNucleic acids research2005

WEBSAGE: a web tool for visual analysis of differentially expressed human SAGE tags.

Jean Pylouster, Catherine Sénamaud-Beaufort, Tula Ester Saison-Behmoaras

Abstract read
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Jean PylousterLaboratoire de Biophysique, Muséum National d'Histoire Naturelle, INSERM U565-CNRS UMR 5153 43, rue Cuvier 75231, Paris Cedex 05, France. jpylou@mnhn.fr
Catherine Sénamaud-Beaufort
Tula Ester Saison-Behmoaras

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The serial analysis of gene expression (SAGE) is a powerful method to compare gene expression of mRNA populations. To provide quantitative expression levels on a genome-wide scale, the Cancer Genome Anatomy Project (CGAP) uses SAGE. Over 7 million SAGE tags, from 171 human cell types have been assembled. The growing number of laboratories involved in SAGE research necessitates the use of software that provides statistical analysis of raw data, allowing the rapid visualization and interpretation of results. We have created the first simple tool that performs statistical analysis on SAGE data, identifies the tags differentially expressed and shows the results in a scatter plot. It is freely available and accessible at http://bioserv.rpbs.jussieu.fr/websage/index.php.

Indexed as

Expressed Sequence TagsSoftwareCell Line, TumorComputer GraphicsData Interpretation, StatisticalFemaleGene Expression ProfilingHumansInternetMiddle AgedRNA, MessengerRNA, Messenger

Identifiers

PMID15980565
PMCPMC1160205

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.