Evidence map›Paper›PMID 38055832›Full record

ArticleNucleic acids research2024

Planteome 2024 Update: Reference Ontologies and Knowledgebase for Plant Biology.

Laurel Cooper, Justin Elser, Marie-Angelique Laporte, Elizabeth Arnaud, Pankaj Jaiswal

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. The future is FAIR: a community framework for enhanced data management and data sharing.Database : the journal of biological databases and curation · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. GrameneOryza: a comprehensive resource for Oryza genomes, genetic variation, and functional data.Database : the journal of biological databases and curation · 2025
    Article
  10. Post-composing ontology terms for efficient phenotyping in plant breeding.Database : the journal of biological databases and curation · 2025
    Article
  11. Article
  12. Article
  13. Building resource-efficient community databases using open-source software.Database : the journal of biological databases and curation · 2025
    Article
  14. Article
  15. Review
  16. 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

5 authors.

Laurel CooperDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0002-6379-8932
Justin ElserDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0003-0921-1982
Marie-Angelique LaporteDigital Inclusion, Biodiversity International, 34397 Montpellier, France.ORCID 0000-0002-8461-9745
Elizabeth ArnaudDigital Inclusion, Biodiversity International, 34397 Montpellier, France.ORCID 0000-0002-6020-5919
Pankaj JaiswalDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0002-1005-8383

Funding

National Science Foundation 1340112National Science Foundation 2029854United States Department of Agriculture
6 · The paper itself

Abstract

The Planteome project (https://planteome.org/) provides a suite of reference and crop-specific ontologies and an integrated knowledgebase of plant genomics data. The plant genomics data in the Planteome has been obtained through manual and automated curation and sourced from more than 40 partner databases and resources. Here, we report on updates to the Planteome reference ontologies, namely, the Plant Ontology (PO), Trait Ontology (TO), the Plant Experimental Conditions Ontology (PECO), and integration of species/crop-specific vocabularies from our partners, the Crop Ontology (CO) into the TO ontology graph. Currently, 11 CO vocabularies are integrated into the Planteome with the addition of yam, sorghum, and potato since 2018. In addition, the size of the annotation database has increased by 34%, and the number of bioentities (genes, proteins, etc.) from 125 plant taxa has increased by 72%. We developed new tools to facilitate user requests and improvements to the CO vocabularies, and to allow fast searching and browsing of PO terms and definitions. These enhancements and future changes to automate the TO-CO mappings and knowledge discovery tools ensure that the Planteome will continue to be a valuable resource for plant biology.

Indexed as

Computational BiologyDatabases, GeneticGenome, PlantPlantsInternet

Identifiers

PMID38055832
PMCPMC10767901

What OpenQuestion holds

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LicenceCC BY
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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.