Evidence map›Paper›PMID 21330331›Full record

ArticleBriefings in bioinformatics2011

The what, where, how and why of gene ontology--a primer for bioinformaticians.

Louis du Plessis, Nives Skunca, Christophe Dessimoz

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

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  8. Generation of 12Computational and structural biotechnology journal · 2025
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  20. Biochemical Mapping ofInternational journal of molecular sciences · 2021
    Article

4 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

3 authors.

Louis du PlessisETH Zurich, Computer Science, Universitätstr. 6, 8092 Zurich, Switzerland.
Nives Skunca
Christophe Dessimoz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With high-throughput technologies providing vast amounts of data, it has become more important to provide systematic, quality annotations. The Gene Ontology (GO) project is the largest resource for cataloguing gene function. Nonetheless, its use is not yet ubiquitous and is still fraught with pitfalls. In this review, we provide a short primer to the GO for bioinformaticians. We summarize important aspects of the structure of the ontology, describe sources and types of functional annotations, survey measures of GO annotation similarity, review typical uses of GO and discuss other important considerations pertaining to the use of GO in bioinformatics applications.

Indexed as

Molecular Sequence AnnotationComputational BiologyDatabases, GeneticGenesVocabulary, Controlled

Identifiers

PMID21330331
PMCPMC3220872

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.