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21 to 30 of 117 Results
Feb 11, 2020
Poirier, Simon; Martin Luong , Ngoc-Du; Anthoine, Valérie; Guillou, Sandrine; Membré, Jeanne-Marie; Moriceau, Nicolas; Rezé, Sandrine; Zagorec, Monique; Feurer, Carole; Frémaux, Sébastien; Jeuge, Sabine; Robieu, Emeline; Champomier-Vergès, Marie; Coeuret, Gwendoline; Cauchie, Emilie; Daube, Georges; Korsak, Nicolas; Coroller, Louis; Desriac, Noémie; Desmonts, Marie-Hélène; Gohier, Rodérick; Werner, Dalal; Loux, Valentin; Rué, Olivier; Dohollou, Marie-Hélène; Défosse, Tatiana; Chaillou, Stéphane, 2020, "Replication Data for "Large-scale multivariate dataset on the characterization of microbiota diversity, microbial growth dynamics, metabolic spoilage volatilome and sensorial profiles of two industrially produced meat products subjected to changes in lactate concentration and packaging atmosphere"", https://doi.org/10.15454/UDQLGE, Portail Data INRAE, V2, UNF:6:5LIPhonUerRAtvzPyHvbnA== [fileUNF]
Data provide detailed information on the diversity of bacterial communities present on 576 samples of raw pork or poultry sausages produced industrially in 2017. Bacterial growth dynamics and diversity were monitored throughout the refrigerated storage period to estimate the impa...
Jun 25, 2018
Loudet, Olivier, 2018, "Raw phenotypic data obtained on the Arabidopsis RILs with the Phenoscope robots (Marchadier, Hanemian, Tisné et al., 2019)", https://doi.org/10.15454/OCOP9B, Portail Data INRAE, V1
This dataset gathers the main raw phenotypic data obtained and exploited in Marchadier, Hanemian, Tisné et al. (2019). It contains data from 4 RIL sets across 9 Phenoscope experiments. For each Phenoscope experiment, Recombinant Inbred Line (RIL) and Condition ('WW' = Well Watere...
Jul 19, 2018
Chaumeil, Philippe; Fischer-Le Saux, Marion; Frigerio, Jean-Marc; Grenier, Eric; Rimet, Frédéric; Streito, Jean-Claude; Laval, Valérie; Franc, Alain, 2018, "R-Syst: a network providing curated molecular databases and data analysis tools for taxonomy and systematics (Prokaryotes and Eucaryotes)", https://doi.org/10.15454/OEDAUS, Portail Data INRAE, V1
R-Syst network deals about systematic and (meta) barcoding and provide curated molecular databases for species identification and provide tools for diagnosis and inventories. The stakes are at the same time a precise diagnosis of organisms of interest (for example pathogens detec...
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.
Aug 18, 2018 - Omics Dataverse
Eder, Matthias; Nidelet, Thibault; Sanchez, Isabelle; Camarasa, Carole; Legras, Jean-Luc; Dequin, Sylvie, 2018, "QTL mapping of modeled metabolic fluxes reveals gene variants impacting yeast central carbon metabolism", https://doi.org/10.15454/C1F8MO, Portail Data INRAE, V1, UNF:6:1GNQbdUMJsdTEnbedU3lUQ== [fileUNF]
The yeast Saccharomyces cerevisiae is an attractive industrial host for the production of a wide range of bulk and fine chemicals, such as biofuels, flavors and fragrances or pharmaceutical products. The intermediates of yeast central carbon metabolism (CCM) are the building bloc...
Jun 19, 2020 - Experimental - Observation - Simulation Dataverse
Laurent, Benoit, 2020, "QTL mapping for aggressiveness variation in F. graminearum revealed one causal mutation in FgVe1 velvet protein", https://doi.org/10.15454/IRKFHM, Portail Data INRAE, V3, UNF:6:qUH16O3A8fgmJb269Xa6Tw== [fileUNF]
Fusarium graminearum is one of the most frequent causal agent of the Fusarium Head Blight in the world, a cereal disease spread throughout the world, reducing grain production and quality. F. graminearum isolates are genetically and phenotypically highly diverse. Notably, remarka...
Aug 18, 2020 - Genes specific to phytoparasitic nematodes INRAE/EMBRAPA
Danchin, Etienne, 2020, "PPN-specific M. incognita proteins with no hits against NR", https://doi.org/10.15454/48436V, Portail Data INRAE, V1
Accession numbers of M. incognita proteins specific to plant-parasitic nematodes as determined by the orthofinder analysis and returning no significant hits against the NCBI's NR according to Diamond.
Aug 18, 2020 - Genes specific to phytoparasitic nematodes INRAE/EMBRAPA
Danchin, Etienne; Grynberg, Pirsicila; Togawa, Roberto, 2020, "PPN-specific candidate effectors expressed in endophytic phases of M. incognita parasitic life cycle", https://doi.org/10.15454/WBZZ5M, Portail Data INRAE, V1, UNF:6:Q6V0cPfaBNCHOg5KABL/1g== [fileUNF]
Annotated list of M. incognita candidate effector proteins that fulfil these criteria: - the proteins are PPN-specific according to orhtofinder and return no significant hit over than in other PPN against the NCBI's nr. - the protein does not belong to a multigene family - the co...
Jul 3, 2020 - Metabolome of tomato fruit pericarp of gbp1-c CRISPR mutant
Bernillon, Stéphane, 2020, "Positive mode LC-MS metabolomics of tomato fruit pericarp of gbp1-c mutants and Wild Type", https://doi.org/10.15454/IFPJAP, Portail Data INRAE, V1
Positive mode LC-MS metabolomic profiling of 15 DPA, 20 DPA, 25 DPA and Red Ripe fruit pericarp from the WT, gbp1-c4 and gbp1-c8 independent mutant lines of tomato.
Jan 5, 2021 - URGI Plant and Fungi Dataverse
Flores, Raphael-Gauthier; Salse, Jérôme, 2021, "PlantSyntenyViewer Wheat dataset submission file", https://doi.org/10.15454/KWWCGV, Portail Data INRAE, V1
Submission file of Wheat dataset in PlantSyntenyViewer
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