Evidence map›Paper›PMID 34251419›Full record

ArticleBriefings in bioinformatics2021

Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases.

Margaret Staton, Ethalinda Cannon, Lacey-Anne Sanderson, Jill Wegrzyn, Tavis Anderson, Sean Buehler, Irene Cobo-Simón, Kay Faaberg, Emily Grau, Valentin Guignon and 10 more

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Building resource-efficient community databases using open-source software.Database : the journal of biological databases and curation · 2025
    Article
  4. OysterDB: A Genome Database for Ostreidae.Marine biotechnology (New York, N.Y.) · 2024
    Article
  5. FoPGDB: a pangenome database of Fusarium oxysporum, a cross-kingdom fungal pathogen.Database : the journal of biological databases and curation · 2024
    Article
  6. Review
  7. Article
  8. PearMODB: a multiomics database for pear (Pyrus) genomics, genetics and breeding study.Database : the journal of biological databases and curation · 2023
    Article
  9. ConservingPlants (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
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

20 authors.

Margaret StatonUniversity of Tennessee, Knoxville, TN USA.
Ethalinda CannonUSDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, IA USA.
Lacey-Anne SandersonUniversity of Saskatchewan, Saskatoon, SK Canada.
Jill WegrzynUniversity of Connecticut, Storrs, CT USA.
Tavis AndersonUSDA-ARS, National Animal Disease Center, Ames, IA, USA.
Sean BuehlerUniversity of Tennessee, Knoxville, TN USA.
Irene Cobo-SimónUniversity of Connecticut, Storrs, CT USA.
Kay FaabergUSDA-ARS, National Animal Disease Center, Ames, IA, USA.
Emily GrauUniversity of Connecticut, Storrs, CT USA.
Valentin GuignonBioversity International, Montpellier, France.
Jessica GunoskeyUniversity of Connecticut, Storrs, CT USA.
Blake InderskiUSDA-ARS, National Animal Disease Center, Ames, IA, USA.
Sook JungWashington State University, Pullman, WA USA.
Kelly LagerUSDA-ARS, National Animal Disease Center, Ames, IA, USA.
Dorrie MainWashington State University, Pullman, WA USA.
Monica PoelchauUSDA-ARS, National Agricultural Library, Beltsville, MD, USA.
Risharde RamnathUniversity of Connecticut, Storrs, CT USA.
Peter RichterUniversity of Connecticut, Storrs, CT USA.
Joe WestUniversity of Tennessee, Knoxville, TN USA.
Stephen FicklinWashington State University, Pullman, WA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online, open access databases for biological knowledge serve as central repositories for research communities to store, find and analyze integrated, multi-disciplinary datasets. With increasing volumes, complexity and the need to integrate genomic, transcriptomic, metabolomic, proteomic, phenomic and environmental data, community databases face tremendous challenges in ongoing maintenance, expansion and upgrades. A common infrastructure framework using community standards shared by many databases can reduce development burden, provide interoperability, ensure use of common standards and support long-term sustainability. Tripal is a mature, open source platform built to meet this need. With ongoing improvement since its first release in 2009, Tripal provides full functionality for searching, browsing, loading and curating numerous types of data and is a primary technology powering at least 31 publicly available databases spanning plants, animals and human data, primarily storing genomics, genetics and breeding data. Tripal software development is managed by a shared, inclusive governance structure including both project management and advisory teams. Here, we report on the most important and innovative aspects of Tripal after 11 years development, including integration of diverse types of biological data, successful collaborative projects across member databases, and support for implementing FAIR principles.

Indexed as

BreedingDatabases, GeneticSoftwareComputational BiologyCrops, AgriculturalGenetic VariationGenomicsPhylogenyPlantsProteomicsWeb Browserbreedingcommunity databasescommunity governanceFAIRgeneticsgenomicsopen source softwareTripal

Identifiers

PMID34251419
PMCPMC8574961

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.