R scripts for "Pauvert et al. 2019. Microbial association networks give relevant insights into plant pathobiomes. BioRxiv, https://doi.org/10.1101/2020.02.21.958033"

DOI

R scripts and datafiles used to infer microbial association networks from metabarcoding data of grapevine foliar samples infected or not by powdery mildew (Erysiphe necator). R script used to search for microbial associations in the Scopus database.

Identifier
DOI https://doi.org/10.15454/5WD6P6
Related Identifier https://doi.org/10.1101/2020.02.21.958033
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/5WD6P6
Provenance
Creator Vacher, Corinne ORCID logo
Publisher Recherche Data Gouv
Contributor Vacher, Corinne
Publication Year 2020
Funding Reference INRA MEM metaprogramme
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Vacher, Corinne (INRA - Institut National de la Recherche Agronomique)
Representation
Resource Type Dataset
Format text/tsv; application/octet-stream; application/gzip; text/tab-separated-values; text/csv; type/x-r-syntax
Size 645; 41367; 355341; 91201; 3936; 3436; 71920; 197741; 3684; 700
Version 1.1
Discipline Agriculture, Forestry, Horticulture; Geosciences; Life Sciences; Plant Science; Biology; Omics; Microbial Ecology and Applied Microbiology; Agricultural Sciences; Farming Systems; Ecology