Evidence map›Paper›PMID 17526521›Full record

ArticleNucleic acids research2007

GeneTrail--advanced gene set enrichment analysis.

Christina Backes, Andreas Keller, Jan Kuentzer, Benny Kneissl, Nicole Comtesse, Yasser A Elnakady, Rolf Müller, Eckart Meese, Hans-Peter Lenhof

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers.

0numbers the graph read from it
0cells of the map it votes in
195citing 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

195 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. PathIN: an integrated tool for the visualization of pathway interaction networks.Computational and structural biotechnology journal · 2023
    Article
  11. PRO-Simat: Protein network simulation and design tool.Computational and structural biotechnology journal · 2023
    Article
  12. Nine quick tips for pathway enrichment analysis.PLoS computational biology · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

135 more citing papers are in PubMed but not listed here.

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

9 authors.

Christina BackesCenter for Bioinformatics, Saarland University, Building E1.1, 66041 Saarbrücken, Germany. cbackes@bioinf.uni-sb.de
Andreas Keller
Jan Kuentzer
Benny Kneissl
Nicole Comtesse
Yasser A Elnakady
Rolf Müller
Eckart Meese
Hans-Peter Lenhof

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a comprehensive and efficient gene set analysis tool, called 'GeneTrail' that offers a rich functionality and is easy to use. Our web-based application facilitates the statistical evaluation of high-throughput genomic or proteomic data sets with respect to enrichment of functional categories. GeneTrail covers a wide variety of biological categories and pathways, among others KEGG, TRANSPATH, TRANSFAC, and GO. Our web server provides two common statistical approaches, 'Over-Representation Analysis' (ORA) comparing a reference set of genes to a test set, and 'Gene Set Enrichment Analysis' (GSEA) scoring sorted lists of genes. Besides other newly developed features, GeneTrail's statistics module includes a novel dynamic-programming algorithm that improves the P-value computation of GSEA methods considerably. GeneTrail is freely accessible at http://genetrail.bioinf.uni-sb.de.

Indexed as

Gene Expression RegulationGenomicsProteomicsAnimalsComputational BiologyDatabase Management SystemsDatabases, GeneticGenes, FungalGenomeHumansInternetModels, GeneticModels, StatisticalProgramming LanguagesSoftwareUser-Computer Interface

Identifiers

PMID17526521
PMCPMC1933132

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.