Evidence map›Paper›PMID 20226267›Full record

ArticleJournal of biomedical informatics2011

Evolution of the Sequence Ontology terms and relationships.

Christopher J Mungall, Colin Batchelor, Karen Eilbeck

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Article
  3. The Gene Ontology knowledgebase in 2026.Nucleic acids research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Semantics-enabled biomedical literature analytics.Journal of biomedical informatics · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. The Human Disease Ontology 2022 update.Nucleic acids research · 2022
    Article
  12. Using FlyBase: A Database of Drosophila Genes and Genetics.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. TogoGenome/TogoStanza: modularized Semantic Web genome database.Database : the journal of biological databases and curation · 2019
    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.

Christopher J MungallLawrence Berkeley National Laboratory, Mail Stop 64R0121, Berkeley, CA 94720, USA.
Colin Batchelor
Karen Eilbeck

Funding

Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
Softward to facilitate adoption of the Sequence Ontology for genome managementR01HG004341 · NHGRI · UNIVERSITY OF UTAH · PI EILBECK, KAREN LOUISE · 2007 to 2013
$1.6M
NHGRI NIH HHS HG004341NHGRI NIH HHS P41 HG002273NHGRI NIH HHS R01 HG004341
6 · The paper itself

Abstract

The Sequence Ontology is an established ontology, with a large user community, for the purpose of genomic annotation. We are reforming the ontology to provide better terms and relationships to describe the features of biological sequence, for both genomic and derived sequence. The SO is working within the guidelines of the OBO Foundry to provide interoperability between SO and the other related OBO ontologies. Here, we report changes and improvements made to SO including new relationships to better define the mereological, spatial and temporal aspects of biological sequence.

Indexed as

Databases, GeneticDocumentationSequence Analysis, DNABiomedical ResearchGenesHumans

Identifiers

PMID20226267
PMCPMC3052763

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Registered trials

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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.