Evidence map›Paper›PMID 18940859›Full record

ArticleNucleic acids research2009

PEDANT covers all complete RefSeq genomes.

Mathias C Walter, Thomas Rattei, Roland Arnold, Ulrich Güldener, Martin Münsterkötter, Karamfilka Nenova, Gabi Kastenmüller, Patrick Tischler, Andreas Wölling, Andreas Volz and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. ProkDBP: Toward more precise identification of prokaryotic DNA binding proteins.Protein science : a publication of the Protein Society · 2024
    Article
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  9. Article
  10. Biochemical Characterization of theFrontiers in plant science · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Insecticidal Toxicity ofFrontiers in cellular and infection microbiology · 2018
    Article
  16. Article
  17. Article
  18. MotifMark: Finding regulatory motifs in DNA sequences.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2017
    Article
  19. Article
  20. Article

5 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

14 authors.

Mathias C WalterInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Thomas Rattei
Roland Arnold
Ulrich Güldener
Martin Münsterkötter
Karamfilka Nenova
Gabi Kastenmüller
Patrick Tischler
Andreas Wölling
Andreas Volz
Norbert Pongratz
Ralf Jost
Hans-Werner Mewes
Dmitrij Frishman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The PEDANT genome database provides exhaustive annotation of nearly 3000 publicly available eukaryotic, eubacterial, archaeal and viral genomes with more than 4.5 million proteins by a broad set of bioinformatics algorithms. In particular, all completely sequenced genomes from the NCBI's Reference Sequence collection (RefSeq) are covered. The PEDANT processing pipeline has been sped up by an order of magnitude through the utilization of precalculated similarity information stored in the similarity matrix of proteins (SIMAP) database, making it possible to process newly sequenced genomes immediately as they become available. PEDANT is freely accessible to academic users at http://pedant.gsf.de. For programmatic access Web Services are available at http://pedant.gsf.de/webservices.jsp.

Indexed as

Databases, GeneticGenomicsGenomeInternetProteinsProteins

Identifiers

PMID18940859
PMCPMC2686588

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.