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7,401 to 7,407 of 7,407 Results
Apr 26, 2021 - Parasitic transcriptome regulation in M. incognita
Danchin, Etienne; Pere, Arthur, 2021, "Enriched GO terms in the eight clusters of differentially expressed genes", https://doi.org/10.15454/V3SCRC, Portail Data INRAE, V1, UNF:6:zAVi7N8nqLznWAQu0l7wPg== [fileUNF]
Enriched gene ontology terms in each of the eight clusters of differentially-expressed M. incognita genes. For each cluster (A-H), enriched GO terms, as compared to the whole set of differentially expressed genes, were identified using a hypergeometric test as implemented in the...
May 17, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia; Vauthier, Denis; Fady, Bruno, 2021, "Phenotypic trait dataset of Pinus pinea measured in the common gardens of the Forest Genetics Network for Research and Experimentation (GEN4X)", https://doi.org/10.15454/MQKQ1O, Portail Data INRAE, V1
This dataset is composed of observations such as height, circumference, cone number, survival and forking, made until 2012 in 7 Pinus pinea provenance trials of the French common gardens network GEN4X (forest genetics network for research and experimentation). It makes possible t...
May 18, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia; Alizoti, Paraskevi; Aravanopoulos, Filippos A.; Bastias, Cristina C.; Benavides, Raquel; Carvalho, Bárbara; Cavers, Stephen; Dauphin, Benjamin; Fonti, Patrick; Gray, Alan; Grefen, Claudio; Gugerli, Felix; Heer, Katrin; Knutzen, Florian; López-Quiroga, David; Martínez-Sancho, Elisabet; Mas, Antonio; Morganti, Sandro; Myking, Tor; Opgenoorth, Lars; Rellstab, Christian; Slámová, Lenka; Valladares, Fernando; von Arx, Georg; Fady, Bruno, 2021, "Ecological and phenotypic trait dataset for 12 European forest tree species from H2020 project GenTree", https://doi.org/10.15454/DOWA7X, Portail Data INRAE, V1, UNF:6:YaEhkqcEubFJ28/9EeO/Hg== [fileUNF]
GenTree is a European Union project financed under the Horizon 2020 framework. The goal of GenTree was to improve the status and use of European in-situ and ex-situ forest genetic resource (FGR) collections, support acquisition, conservation, characterization, evaluation and use...
May 26, 2021
Joanna Roginska; Michel Perdicakis; Cédric Midoux; Théodore Bouchez; Christelle Despas; Liang Liu; Jiang-Hao Tian; Cédric Chaumont; Frédéric P. A. Jorand; Julien Tournebize; Mathieu Etienne, 2021, "Electrochemical analysis of a microbial electrochemical snorkel in laboratory and constructed wetlands - biom file", https://doi.org/10.15454/KC3WAO, Portail Data INRAE, V1
biom file
Jul 9, 2021 - URGI Plant and Fungi Dataverse
Jonathan Kreplak; Grégoire Aubert; Magalie Leveugle; Hervé Duborjal; Jean-Philippe Pichon; Judith Burstin, 2021, "Exome capture genotyping data on the pea Architecture Multi-Stress collection (Peamust project)", https://doi.org/10.15454/3QRIPA, Portail Data INRAE, V1
In the context of Work Package 3 of the PeaMUST project , Genotyping data obtained by exome capture on a 240 accessions pea germplasm panel (AMS collection). You need an account to access data, contact urgi-support@inrae.fr and ask for Peamust project Exome capture genotyping dat...
Jul 28, 2021
Vacher, Corinne, 2021, "Statistical analysis scripts to analyze metabarcoding data of fungal communities associated with two grapevine varieties (Vitis vinifera ‘Regent’ and ‘Cabernet-Sauvignon’)", https://doi.org/10.15454/PL3HWQ, Portail Data INRAE, V2
This archive provides the statistical analysis scripts used to analyze a metabarcoding dataset (available at https://www.ncbi.nlm.nih.gov/bioproject/678415) representing foliar fungal communities associated with two grapevine varieties (Vitis vinifera ‘Regent’ and ‘Cabernet-Sauvi...
Jul 30, 2021 - URGI Plant and Fungi Dataverse
Florian Maumus, 2021, "Clustered IMG VR v3 file: IMGVR70", https://doi.org/10.15454/RZDFOR, Portail Data INRAE, V1
How this file was created? All proteins (n=66,585,678) were retrieved from IMG/VR v3 database (https://genome.jgi.doe.gov/portal/IMG_VR/IMG_VR.home.html) version IMG_VR_2020-10-12_5.1 (https://doi.org/10.1093/nar/gkaa946). We used MMseqs2 (https://doi.org/10.1038/nbt.3988) for si...
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