Evidence map›Paper›PMID 14681413›Full record

ArticleNucleic acids research2004

The ORFanage: an ORFan database.

Naomi Siew, Yaniv Azaria, Daniel Fischer

Abstract read
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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Imported, not invented, genes prevail amongProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. TRGdb: a universal resource for the exploration of taxonomically restricted genes in bacteria.Database : the journal of biological databases and curation · 2023
    Article
  4. Review
  5. Antiviral COVID-19 protein and molecular docking:Frontiers in public health · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. An evolutionary approach to Function.Journal of biomedical semantics · 2010
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Metabolomics.Cell metabolism · 2007
    Article
  18. Article
  19. Article
  20. 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.

Naomi SiewDepartment of Chemistry, Ben Gurion University, Beer-Sheva 84105, Israel. nomsiew@cs.bgu.ac.il
Yaniv Azaria
Daniel Fischer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As each newly sequenced genome contains a significant number of protein-coding ORFs that are species-, family- or lineage-specific, many interesting questions arise about the evolution and role of these ORFs and of the genomes they are part of. We refer to these poorly conserved ORFs as singleton or paralogous ORFans if they are unique to one genome, or as orthologous ORFans if they appear only in a family of closely related organisms and have no homolog in other genomes. In order to study and classify ORFans we have constructed the ORFanage, an ORFan database. This database consists of the predicted ORFs in fully sequenced microbial genomes, and enables searching for the three types of ORFans in any subset of the genomes chosen by the user. The ORFanage could help in choosing interesting targets for further genomic and evolutionary studies. The ORFanage is accessible via http://www.bioinformatics.buffalo. edu/ORFanage.

Indexed as

Databases, GeneticOpen Reading FramesComputational BiologyEvolution, MolecularGenes, BacterialInternetSequence HomologySpecies Specificity

Identifiers

PMID14681413
PMCPMC308850

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.