Evidence map›Paper›PMID 38370872›Full record

ArticleEnvironmental DNA (Hoboken, N.J.)2024

rCRUX: A Rapid and Versatile Tool for Generating Metabarcoding Reference libraries in R.

Emily E Curd, Luna Gal, Ramon Gallego, Katherine Silliman, Shaun Nielsen, Zachary Gold

Open access · goldAbstract read
In one paragraph

Article in Environmental DNA (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Ecology and evolution · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

Emily E CurdVermont Biomedical Research Network, University of Vermont, VT, USA.
Luna GalLandmark College, VT, USA.
Ramon GallegoDepartamento de Biología, Universidad Autónoma de Madrid, Cantoblanco, Madrid, Spain.
Katherine SillimanNorthern Gulf Institute, Mississippi State University, Starkville, MS, USA.
Shaun NielsenIndependent Researcher.
Zachary GoldCalifornia Cooperative Oceanic Fisheries Investigations (CalCOFI), Scripps Institution of Oceanography, University of California San Diego (UCSD), La Jolla, CA, USA.
Scripps Institution of Oceanography · USAustralian Veterinary Association · AUNOAA Atlantic Oceanographic and Meteorological Laboratories · USUniversidad Autónoma de Madrid · ESUniversity of Vermont · US

Funding

Vermont INBRE Administrative Supplement 2024 AWD 118P20GM103449 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI CHRISTOPHER S FRANCKLYN · 2012 to 2026
$58.4M
NIGMS NIH HHS P20 GM103449
6 · The paper itself

Abstract

The sequencing revolution requires accurate taxonomic classification of DNA sequences. Key to making accurate taxonomic assignments are curated, comprehensive reference barcode databases. However, the generation and curation of such databases has remained challenging given the large and continuously growing volumes of both DNA sequence data and novel reference barcode targets. Monitoring and research applications require a greater diversity of specialized gene regions and targeted taxa then are currently curated by professional staff. Thus there is a growing need for an easy to implement computational tool that can generate comprehensive metabarcoding reference libraries for any bespoke locus. We address this need by reimagining CRUX from the Anacapa Toolkit and present the rCRUX package in R which, like it's predecessor, relies on sequence homology and PCR primer compatibility instead of keyword-searches to avoid limitations of user-defined metadata. The typical workflow involves searching for plausible seed amplicons (

Identifiers

PMID38370872
PMCPMC10871694
OpenAlexW4389143111

What OpenQuestion holds

Textmetadata
LicenceTDM
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.