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Feb 24, 2021
Fabre, Frederic, 2018, "An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments by F. Fabre, J.-B. Burie, A. Ducrot, S. Lion, Q. Richard and R. Djidjou-Demasse", https://doi.org/10.15454/WAEIMA, Portail Data INRAE, V4, UNF:6:VMSNwYEeJZ3ImK9r2Mlkig== [fileUNF]
MATLAB codes for reproducing the simulations and main figures described in Fabre et al. 2020 An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments (https://www.biorxiv.org/content/10.1101/423467v2).
Dec 7, 2020 - Omics Dataverse
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 - Omics Dataverse
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...
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