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Dec 8, 2020 - ThaliaDB maize Dataverse
Nicolas, Stéphane; Madur, Delphine; Charcosset, Alain; Bauland, Cyril; Combes, Valérie; Berard, Aurélie; Arca, Mariangela; Mary-Huard, Tristan; Le Paslier, Marie-Christine; Gouesnard, Brigitte, 2020, "Fluorescence intensity datasets and R scripts to predict allelic frequencies in DNA bulks using maize 50K Illumina array", https://doi.org/10.15454/GANJ7J, Portail Data INRAE, V1, UNF:6:IvZiMGs4Oo8oWZqgBbcDdA== [fileUNF]
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...
Dec 7, 2020
Fort, Tania; Pauvert, Charlie; Zanne, Amy; Ovaskainen, Otso; Caignard, Thomas; Barret, Matthieu; Compant, Stéphane; Hampe, Arndt; Delzon, Sylvain; Vacher, Corinne, 2020, "Bioinformatic and statistical scripts for "Fort et al. 2020. Maternal effects shape seed fungal communities in Quercus petraea, New Phytologist"", https://doi.org/10.15454/0CNFWS, Portail Data INRAE, V3, UNF:6:+ROFl+GYxv+1vFHcrzj8MA== [fileUNF]
This dataset contains R-scripts to analyse the diversity and composition of seed fungal communities (Fort et al. 2020. Maternal effects shape seed fungal communities in Quercus petraea. New Phytologist, https://doi.org/10.1111/nph.17153). The bioinformatic script was applied to r...
Feb 18, 2020
Vacher, Corinne, 2020, "Bioinformatic scripts used to analyze fungal metabarcoding data obtained from Vitis vinifera leaves", https://doi.org/10.15454/WLHBP6, Portail Data INRAE, V1, UNF:6:LYk3rj9ck7B/6LlcF6oIcQ== [fileUNF]
Bioinformatic scripts used to sort, filter and analyze fungal raw sequence data obtained by metabarcoding foliar, bark and ground cover samples collected in an untreated vineyard at INRA Villenave d'Ornon (France). Amplicon sequence variant (ASV) tables obtained for vine leaves a...
Feb 7, 2020 - ThaliaDB maize Dataverse
Rio Simon, 2020, "FlintDent GWAS dataset", https://doi.org/10.15454/OQT5CY, Portail Data INRAE, V1
This dataset corresponds to the data associated with the study: "Disentangling group specific QTL allele effects from genetic background epistasis in GWAS: an application to maize flowering" by Rio et al. (2019). The data includes genotypic and phenotypic information for a panel...
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