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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Format: | Dataset biblioteca |
Language: | English |
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2023
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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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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 |
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Francia |
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biblioteca |
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Europa del Oeste |
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Centre de coopération internationale en recherche agronomique pour le développement |
language |
English |
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Agricultural Sciences Computer and Information Science Mathematical Sciences bacteria Insecta ecology Agricultural Sciences Computer and Information Science Mathematical Sciences bacteria Insecta ecology |
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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 |
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Dataset |
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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 |
work_keys_str_mv |
AT chapuismariepierre originaldataforchapuismpetal2023evaluationof96wellhighthroughputdnaextractionmethodsfor16srrnagenemetabarcodingmolecularecologyresources2315091525 AT benoitlaure originaldataforchapuismpetal2023evaluationof96wellhighthroughputdnaextractionmethodsfor16srrnagenemetabarcodingmolecularecologyresources2315091525 AT galanmaxime originaldataforchapuismpetal2023evaluationof96wellhighthroughputdnaextractionmethodsfor16srrnagenemetabarcodingmolecularecologyresources2315091525 |
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