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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F24%3A00576721" target="_blank" >RIV/61388971:_____/24:00576721 - isvavai.cz</a>

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/1755-0998.13847" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/1755-0998.13847</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/1755-0998.13847" target="_blank" >10.1111/1755-0998.13847</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10606 - Microbiology

Result continuities

  • Project

    <a href="/en/project/GA21-17749S" target="_blank" >GA21-17749S: Economically important fungi and related organisms: distribution, diversity and human effects</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Molecular Ecology Resources

  • ISSN

    1755-098X

  • e-ISSN

    1755-0998

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    17

  • Pages from-to

    e13847

  • UT code for WoS article

    001043880700001

  • EID of the result in the Scopus database

    2-s2.0-85167335441