Evidence map›Paper›PMID 42157083›Full record

ArticleBMC bioinformatics2026

BIOWATCH: a R shiny application for the detection of species of interest in metabarcoding datasets.

John K Pearman, Eva Aylagas, Susana Carvalho

Abstract read
In one paragraph

Article in BMC bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

John K PearmanCawthron Institute, Nelson, New Zealand.
Eva AylagasDivision of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Susana CarvalhoDivision of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. susana.carvalho@kaust.edu.sa.

Funding

King Abdullah University of Science and Technology BAS/1/1109-01-01
6 · The paper itself

Abstract

backgroundHuman activities are driving shifts in the distribution of species. This is leading to profound changes in biological communities as some species head towards extinction while there is a spread of pathogenic organisms and non-indigenous species. For efficient and effective management of these shifts it is critical to be able to detect species of interest promptly and accurately. With technological advancements there is an increasing amount of environmental DNA data available to researchers and environmental managers, but it is often not optimally utilized for the detection of species of interest.

resultsBIOWATCH is a R shiny app which aims to improve the detection of species of interest in metabarcoding datasets. BIOWATCH enables the user to create custom reference databases from a predefined list of species from public databases. Metabarcoding datasets can then be investigated against these custom databases to detect species of interest. Users are also able to visualize the results to assess spatial and temporal patterns of those species.

conclusionBIOWATCH offers a versatile platform that empowers users to interpret metabarcoding results, contributing to improved ecosystem monitoring, conservation planning, and species management in an era of rapid environmental change.

Indexed as

DNA Barcoding, TaxonomicSoftwareComputational BiologyBioinformaticsMetabarcodingNon-indigenous speciesR shinySpecies detection

Identifiers

PMID42157083
PMCPMC13359807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.