Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array

DOI

R scripts and fluorescence intensity datasets of 24 controlled pools and 327 inbred lines panels extracted from 50K Illumina Infinium HD array (Ganal et al., 2010). These datasets and R scripts can be used to calibrate a model to predict allelic frequencies in new DNA bulks using the two step approach published by Arca et al., (2020) in Frontiers in Plant Science entitled "Deciphering the genetic diversity of landraces with high-throughput SNP genotyping of DNA bulks: methodology and application to the maize 50k array"

Identifier
DOI https://doi.org/10.15454/GANJ7J
Related Identifier https://doi.org/10.3389/fpls.2020.568699
Related Identifier https://doi.org/10.1101/2020.05.19.103655
Related Identifier https://doi.org/10.1101/2020.09.30.321018
Related Identifier https://doi.org/10.1101/2020.08.17.253690
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/GANJ7J
Provenance
Creator Nicolas, Stéphane ORCID logo; Madur, Delphine; Charcosset, Alain; Bauland, Cyril ORCID logo; Combes, Valérie; Berard, Aurélie; Arca, Mariangela; Mary-Huard, Tristan; Le Paslier, Marie-Christine ORCID logo; Gouesnard, Brigitte
Publisher Recherche Data Gouv
Contributor Nicolas, Stephane; Madur, Delphine; Institut National de la Recherche Agronomique et de l'Environnement; Nicolas, Stéphane
Publication Year 2020
Funding Reference ANR ANR-10-BTBR-01 ; PROMais Diversité Zea
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Nicolas, Stephane (GQE – Le Moulon, INRAE, Université Paris-Saclay, CNRS, AgroParisTech, 91190 Gif-sur-Yvette, France); Madur, Delphine (GQE – Le Moulon, INRAE, Université Paris-Saclay, CNRS, AgroParisTech, 91190 Gif-sur-Yvette, France)
Representation
Resource Type Dataset
Format text/tsv; text/tab-separated-values; text/x-r-source
Size 716702731; 1376057; 42239602; 33592; 6185
Version 1.0
Discipline Agriculture, Forestry, Horticulture; Geosciences; Life Sciences; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Basic Biological and Medical Research; Biology; Biospheric Sciences; Earth and Environmental Science; Ecology; Environmental Research; Medicine; Natural Sciences; Omics; General Genetics; Plant Science