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1 to 10 of 17 Results
Oct 12, 2020
Barroso Bergada, Didac, 2020, "Microbial networks inferred from environmental DNA data for biomonitoring ecosystem change: strengths and pitfalls -- R code", https://doi.org/10.15454/ZWDFJK, Portail Data INRAE, V2, UNF:6:orRB87170pdVwzurwPbM3A== [fileUNF]
R code used to perform the network inference and analysis of "Microbial networks inferred from environmental DNA data for biomonitoring ecosystem change: strengths and pitfalls"
Aug 5, 2020
Ehrenmann, Francois; Plomion, Christophe, 2020, "Oak Genome Sequencing Website", https://doi.org/10.15454/WSMRIN, Portail Data INRAE, V2
The oak genome sequencing website, concerning the sequencing of the oak genome and identification of genes important for the adaptation of forest trees, is a permanent resource by INRAE, available at http://www.oakgenome.fr/. It provides access to various resources : oak genome b...
Jul 23, 2020 - UEFP Dataverse
Denou, Jean-Luc, 2020, "GéoDispo, un nouvel outil pour géoréférencer facilement les objets d'étude (plantes ligneuses par exemple) dans les dispositifs expérimentaux de terrain", https://doi.org/10.15454/MEIIK0, Portail Data INRAE, V2
Dans la plupart des dispositifs expérimentaux (sylviculture, viticulture, arboriculture), les objets d'étude (dans ces cas des plantes ligneuses) sont identifiés dans un repère orthogonal spécifique au dispositif, avec des coordonnées de type XY qui ne permettent pas directement...
Jul 16, 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 to analyze metabarcoding data of fungal communities", https://doi.org/10.15454/0CNFWS, Portail Data INRAE, V1, UNF:6:AbAHJCHSVEP+kwY2z9TN7A== [fileUNF]
This dataset contains R-scripts to analyse the diversity and composition of seed fungal communities (Fort et al., Maternal effects shape seed fungal communities in Quercus petraea. Submitted). The bioinformatic script was applied to raw sequences after paired-end sequences were j...
Feb 18, 2020 - Omics Dataverse
Vacher, Corinne, 2020, "R scripts used to infer microbial networks from metabarcoding data and validate them using text-mining", https://doi.org/10.15454/5WD6P6, Portail Data INRAE, V1, UNF:6:LNjhKptvEnA9T2eqRWfBNQ== [fileUNF]
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.
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...
Jan 28, 2020 - Multi Criteria Assessment Methods
Sabbadin, Régis, 2020, "Multiple Correspondance Analysis of annotated data about Multi Criteria Assessment Methods used in the agri-food research", https://doi.org/10.15454/5ZTATS, Portail Data INRAE, V1
The annotation of scientific papers has been done in three steps described in detail in a related data paper (Gésan-Guiziou et al. 2019a). Firstly, the set of papers published by INRAE researchers from 2007 to 2017 have been extracted from the Web of Science (WOS) using a set of...
Jan 28, 2020 - HYCAR
Coron, Laurent; Delaigue, Olivier; Thirel, Guillaume; Perrin, Charles; Michel, Claude, 2020, "airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling. R package version 1.4.3.65.", https://doi.org/10.15454/EX11NA, Portail Data INRAE, V1
Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A), a snow accumulation and melt model (CemaNeige) and the associated functions for their c...
Jan 23, 2020 - HYCAR
Delaigue, Olivier; Coron, Laurent; Brigode, Pierre, 2020, "airGRteaching: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included). R package version 0.2.8.69.", https://doi.org/10.15454/W0SSKT, Portail Data INRAE, V1
Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed...
Jan 2, 2020
Lepais, Olivier, 2019, "Automated pipeline for sequence-based microsatellite genotyping", https://doi.org/10.15454/HBXKVA, Portail Data INRAE, V2
Two bash scripts are provided to automated sequence-base microsatellite genotyping from data sequences generated by amplicon sequencing (SSRseq, SSR-GBS or similar approaches as described in Lepais et al. 2019). The first script is used to compare genotype quality generated using...
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