Evidence map›Paper›PMID 37548515›Full record

ReviewMolecular ecology resources2024

A pile of pipelines: An overview of the bioinformatics software for metabarcoding data analyses.

Ali Hakimzadeh, Alejandro Abdala Asbun, Davide Albanese, Maria Bernard, Dominik Buchner, Benjamin Callahan, J Gregory Caporaso, Emily Curd, Christophe Djemiel, Mikael Brandström Durling and 16 more

Open access · greenAbstract readReview
In one paragraph

Review in Molecular ecology resources, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
17.9field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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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

26 authors at 20 institutions in 13 countries.

Ali HakimzadehInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.ORCID https://orcid.org/0000-0003-1336-7445
Alejandro Abdala AsbunDepartment of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, Texel, Netherlands.
Davide AlbaneseUnit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, Italy.
Maria BernardINRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.ORCID https://orcid.org/0000-0001-9005-5563
Dominik BuchnerAquatic Ecosystem Research, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0002-8499-5863
Benjamin CallahanDepartment of Population Health and Pathobiology, College of Veterinary Medicine and Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA.
J Gregory CaporasoCenter for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.
Emily CurdVermont Biomedical Research Network, University of Vermont, Burlington, Vermont, USA.
Christophe DjemielAgroécologie, INRAE, Institut Agro, Univ. Bourgogne Franche-Comté, Dijon, France.ORCID https://orcid.org/0000-0002-5659-7876
Mikael Brandström DurlingDepartment of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID https://orcid.org/0000-0001-6485-197X
Vasco ElbrechtAquatic Ecosystem Research, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0003-4672-7099
Zachary GoldZachary Gold, NOAA Pacific Marine Environmental Laboratory, Seattle, Washington, USA.
Hyun S GweonUK Centre for Ecology & Hydrology, Oxfordshire, UK.
Mehrdad HajibabaeiDepartment of Integrative Biology and Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.ORCID https://orcid.org/0000-0002-8859-7977
Falk HildebrandGut Microbes & Health, Quadram Institute Bioscience, Norfolk, UK.
Vladimir MikryukovInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.
Eric NormandeauInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.
Ezgi ÖzkurtGut Microbes & Health, Quadram Institute Bioscience, Norfolk, UK.
Jonathan M PalmerCenter for Forest Mycology Research, Northern Research Station, US Forest Service, Madison, Wisconsin, USA.
Géraldine PascalGenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France.ORCID https://orcid.org/0000-0002-5250-6594
Teresita M PorterDepartment of Integrative Biology and Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.
Daniel StraubQuantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany.
Martti VasarInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.ORCID https://orcid.org/0000-0002-4674-932X
Tomáš VětrovskýLaboratory of Environmental Microbiology, Institute of Microbiology of the Czech Academy of Sciences, Praha, Czech Republic.
Haris ZafeiropoulosKU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, Leuven, Belgium.
Sten AnslanInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.ORCID https://orcid.org/0000-0002-2299-454X
University of Tartu · EENorwich Research Park · GBUniversity of Duisburg-Essen · DEUniversity of Guelph · CAAgroParisTech · FRCzech Academy of Sciences · CZÉcole Nationale Vétérinaire de Toulouse · FRFondazione Edmund Mach · ITInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRNational Oceanic and Atmospheric Administration · USNorth Carolina State University · USNorthern Arizona University · USRega Institute for Medical Research · BERoyal Netherlands Institute for Sea Research · NLSwedish University of Agricultural Sciences · SEUK Centre for Ecology & Hydrology · GBUniversité Laval · CAUniversity of Tübingen · DEUniversity of Vermont · USUS Forest Service · 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
Advanced Development of Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional)U24CA248454 · NCI · NORTHERN ARIZONA UNIVERSITY · PI CAPORASO, JAMES GREGORY · 2020 to 2024
$3.7M
Deutsche Forschungsgemeinschaft (DFG) EXC2124European Regional Development Fund and the programme Mobilitas Pluss MOBTP198Genome Canada and Ontario GenomicsGrantová Agentura České Republiky 21-17749SNCI NIH HHS U24 CA248454NIGMS NIH HHS P20 GM103449NIGMS NIH HHS P20GM103449
6 · The paper itself

Abstract

Environmental DNA (eDNA) metabarcoding has gained growing attention as a strategy for monitoring biodiversity in ecology. However, taxa identifications produced through metabarcoding require sophisticated processing of high-throughput sequencing data from taxonomically informative DNA barcodes. Various sets of universal and taxon-specific primers have been developed, extending the usability of metabarcoding across archaea, bacteria and eukaryotes. Accordingly, a multitude of metabarcoding data analysis tools and pipelines have also been developed. Often, several developed workflows are designed to process the same amplicon sequencing data, making it somewhat puzzling to choose one among the plethora of existing pipelines. However, each pipeline has its own specific philosophy, strengths and limitations, which should be considered depending on the aims of any specific study, as well as the bioinformatics expertise of the user. In this review, we outline the input data requirements, supported operating systems and particular attributes of thirty-two amplicon processing pipelines with the goal of helping users to select a pipeline for their metabarcoding projects.

Indexed as

Computational BiologyDNA Barcoding, TaxonomicSoftwareArchaeaBacteriaData AnalysisDNA, EnvironmentalEukaryotaHigh-Throughput Nucleotide SequencingMetagenomicsDNA, Environmentalamplicon data analysisbioinformaticsenvironmental DNAmetabarcodingpipelinereview

Identifiers

PMID37548515
PMCPMC10847385
OpenAlexW4385620772

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.