Evidence map›Paper›PMID 40836227›Full record

ArticleBMC ecology and evolution2025

NCBITaxonomy.jl: rapid biological names finding and reconciliation.

Timothée Poisot, Rory Gibb, Sadie J Ryan, Colin J Carlson

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Timothée PoisotDépartment de Sciences Biologiques, Université de Montréal, Montréal, QC, Canada. timothee.poisot@umontreal.ca.ORCID 0000-0002-0735-5184
Rory GibbCentre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-0965-1649
Sadie J RyanEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-4308-6321
Colin J CarlsonDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.ORCID 0000-0001-6960-8434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NCBITaxonomy.jl is a Julia package designed to address the complex challenges of taxonomic name reconciliation using a local copy of the NCBI taxonomic backbone (Federhen in Nucleic Acids Res 40:D136-D143, 2012, Schoch et al. in Database 2020:baaa062, 2020). The package provides advanced name matching capabilities that handle common issues in taxonomic data, including synonyms, homonyms, vernacular names, nomenclatural changes, and typographical errors. Core functionalities include case-insensitive search, customizable fuzzy string matching, and taxonomically-restricted searches. The package implements a robust exception system that explicitly handles ambiguous matches without interrupting workflow execution, enabling automated processing of large datasets. NCBITaxonomy.jl works with Julia 1.6 and up, uses Apache Arrow format for efficient local storage. It provides lineage navigation and taxonomic distance functions. The package has been successfully deployed in large-scale projects for automated name reconciliation and cleaning, demonstrating its effectiveness for high-throughput name reconciliation across heterogeneous biological datasets. The design prioritizes programmatic access over command-line usage, making it well-suited for integration into bioinformatics pipelines requiring reliable taxonomic standardization.

Indexed as

ClassificationSoftwareTerminology as TopicDatabaseICTVNCBITaxonomic names

Identifiers

PMID40836227
PMCPMC12366413

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.