Evidence map›Paper›PMID 23297035›Full record

ArticleBioinformatics (Oxford, England)2013

Assessing identity, redundancy and confounds in Gene Ontology annotations over time.

Jesse Gillis, Paul Pavlidis

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. The Gene Ontology knowledgebase in 2026.Nucleic acids research · 2026
    Article
  5. Article
  6. gymnotoa-db: a database and application to optimize functional annotation in gymnosperms.Database : the journal of biological databases and curation · 2025
    Article
  7. A review on Gene Ontology evaluations.Database : the journal of biological databases and curation · 2025
    Review
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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

2 authors at 2 institutions in 2 countries.

Jesse GillisStanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, 192B Genome Research Center, 500 Sunnyside Boulevard, Woodbury, NY 11797, USA.
Paul Pavlidis
Cold Spring Harbor Laboratory · USHigh Throughput Biology (United States) · US

Funding

Neuroinformatics for gene expression: networks, function and meta-analysisR01GM076990 · NIGMS · UNIVERSITY OF BRITISH COLUMBIA · PI BIROL, INANC, PAVLIDIS, PAUL · 2005 to 2014
$2.0M
CIHRNIGMS NIH HHS GM076990NIGMS NIH HHS R01 GM076990
6 · The paper itself

Abstract

motivationThe Gene Ontology (GO) is heavily used in systems biology, but the potential for redundancy, confounds with other data sources and problems with stability over time have been little explored.

resultsWe report that GO annotations are stable over short periods, with 3% of genes not being most semantically similar to themselves between monthly GO editions. However, we find that genes can alter their 'functional identity' over time, with 20% of genes not matching to themselves (by semantic similarity) after 2 years. We further find that annotation bias in GO, in which some genes are more characterized than others, has declined in yeast, but generally increased in humans. Finally, we discovered that many entries in protein interaction databases are owing to the same published reports that are used for GO annotations, with 66% of assessed GO groups exhibiting this confound. We provide a case study to illustrate how this information can be used in analyses of gene sets and networks. AVAILABILITY: Data available at http://chibi.ubc.ca/assessGO.

Indexed as

GenesMolecular Sequence AnnotationVocabulary, ControlledDatabases, ProteinHumansProtein Interaction Mapping

Identifiers

PMID23297035
PMCPMC3570208
OpenAlexW2131776976

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.