Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"

Shell script for preprocessing of raw sequences ; R scripts for data filtering, reduction and analysis ; abundance table data.

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Bibliographic Details
Main Authors: Chapuis, Marie-Pierre, Benoit, Laure, Galan, Maxime
Other Authors: Chapuis, Marie Pierre
Format: Dataset biblioteca
Language:English
Published: CIRAD Dataverse 2023
Subjects:Agricultural Sciences, Computer and Information Science, Mathematical Sciences, bacteria, Insecta, ecology,
Online Access:https://doi.org/10.18167/DVN1/D31UAV
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id dat-cirad-10.18167DVN1D31UAV
record_format Dataverse
spelling dat-cirad-10.18167DVN1D31UAV2024-03-02T01:00:05ZOriginal data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"https://doi.org/10.18167/DVN1/D31UAVChapuis, Marie-PierreBenoit, LaureGalan, MaximeCIRAD DataverseShell script for preprocessing of raw sequences ; R scripts for data filtering, reduction and analysis ; abundance table data.Agricultural SciencesComputer and Information ScienceMathematical SciencesbacteriaInsectaecologyEnglish2023-05-02Chapuis, Marie PierreDatasetSoftware
institution CIRAD FR
collection Dataverse
country Francia
countrycode FR
component Datos de investigación
access En linea
En linea
databasecode dat-cirad
tag biblioteca
region Europa del Oeste
libraryname Centre de coopération internationale en recherche agronomique pour le développement
language English
topic Agricultural Sciences
Computer and Information Science
Mathematical Sciences
bacteria
Insecta
ecology
Agricultural Sciences
Computer and Information Science
Mathematical Sciences
bacteria
Insecta
ecology
spellingShingle Agricultural Sciences
Computer and Information Science
Mathematical Sciences
bacteria
Insecta
ecology
Agricultural Sciences
Computer and Information Science
Mathematical Sciences
bacteria
Insecta
ecology
Chapuis, Marie-Pierre
Benoit, Laure
Galan, Maxime
Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
description Shell script for preprocessing of raw sequences ; R scripts for data filtering, reduction and analysis ; abundance table data.
author2 Chapuis, Marie Pierre
author_facet Chapuis, Marie Pierre
Chapuis, Marie-Pierre
Benoit, Laure
Galan, Maxime
format Dataset
topic_facet Agricultural Sciences
Computer and Information Science
Mathematical Sciences
bacteria
Insecta
ecology
author Chapuis, Marie-Pierre
Benoit, Laure
Galan, Maxime
author_sort Chapuis, Marie-Pierre
title Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
title_short Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
title_full Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
title_fullStr Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
title_full_unstemmed Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
title_sort original data for " chapuis mp et al. (2023). evaluation of 96-well high-throughput dna extraction methods for 16s rrna gene metabarcoding. molecular ecology resources, 23, 1509–1525"
publisher CIRAD Dataverse
publishDate 2023
url https://doi.org/10.18167/DVN1/D31UAV
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