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1 to 10 of 102 Results
May 26, 2021 - Omics Dataverse
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
May 25, 2021
Brault, Charlotte; Flutre, Timothée; Launay, Amandine; Doligez, Agnès; Chouiki, Hajar; Sarah, Gautier; Mournet, Pierre, 2021, "Genotypic data and genetic map for Syrah x Grenache bi-parental grapevine population", https://doi.org/10.15454/QEDX2V, Portail Data INRAE, V1, UNF:6:L5hd7gugVIod43JkBypJvQ== [fileUNF]
This dataset, intended for QTL detection and genomic prediction, includes : 1) the SNP genotyping data, in vcf format, obtained by GBS in a grapevine bi-parental population, and the script for formatting the data before building the genetic map; 2) the script and custom R functio...
May 21, 2021 - UMR IGEPP
Bianchetti, Grégoire; Baron, Cécile; Carrillo, Aurélien; Berardocco, Solenne; Marnet, Nathalie; Wagner, Marie-Hélène; Demilly, Didier; Ducournau, Sylvie; Manzanarès-Dauleux, Marie.J.; Le Cahérec, Françoise; Buitink, Julia; Nesi, Nathalie, 2021, "Dataset for the metabolic and physiological characterization of seeds from oilseed rape (Brassica napus L.) plants grown under single or combined effects of drought and clubroot pathogen Plasmodiophora brassicae", https://doi.org/10.15454/SNRK0V, Portail Data INRAE, V1, UNF:6:V/rvlcoPQOsTqOm3r7v0UA== [fileUNF]
Faced with the challenges of adapting agriculture to climate change, seed production should have increased resilience to abiotic stress factors and the expected proliferation of pathogens. This concerns both the nutritional quality and seed vigor, two crucial factors in seedling...
May 18, 2021
Chonova, Teofana; Keck, Francois; Bouchez, Agnès; Rimet, Frederic, 2020, "A ready-to-use database for DADA2: Diat.barcode_rbcL_263bp_DADA2 based on Diat.barcode v9", https://doi.org/10.15454/QBLSXP, Portail Data INRAE, V3
This database is an adaptation for DADA2 of Diat.barcode v9. Length of sequences is 263 bp ------------------------- Rimet, Frederic; Chonova, Teofana; Gassiole, Gilles; Gusev, Evgenuy; Kahlert, Maria; Keck, François; Kelly, Martyn; Kulikovskiy, Maxim; Maltsev, Yevhen; Mann, Davi...
May 18, 2021 - CARRTEL Dataverse
Keck, François; Rimet, Frédéric; Vasselon, Valentin; Bouchez, Agnès, 2019, "A ready-to-use database for DADA2: Diat.barcode_rbcL_312bp_DADA2 based on Diat.barcode v7", https://doi.org/10.15454/HNI1EK, Portail Data INRAE, V2
This database is an adaptation for DADA2 of : Vasselon, Valentin; Rimet, Frederic; Bouchez, Agnès, 2018, "Rsyst::diatom_rbcl_align_312bp database: a database adapted to DNA metabarcoding (version v7: 23-02-2018)", https://doi.org/10.15454/HYRVUH, Portail Data Inra, V1 This versio...
May 17, 2021 - PEGASE
GONDRET, Florence, 2020, "FeedOmics project - learning and validation databases for blood", https://doi.org/10.15454/J4XOPD, Portail Data INRAE, V2, UNF:6:LEYk5zT2OraDfSVIubV0Dw== [fileUNF]
The FeedOmics project aimed to determine biomarkers of feed efficiency in growing pigs. Here, the files refer to learning and validation databases including transcriptomes of blood from pigs of three different experiments, their class of residual feed intake (RFI+/-) and values f...
May 12, 2021 - UMR IGEPP
Solenn Stoeckel, 2021, "The discernible and hidden effects of clonality on the genotypic and genetic states of populations: improving our estimation of clonal rates", https://doi.org/10.15454/FEQ1Z6, Portail Data INRAE, V1
Partial clonality is widespread across the tree of life, but most population genetics models are designed for exclusively clonal or sexual organisms. This gap hampers our understanding of the influence of clonality on evolutionary trajectories and the interpretation of population...
May 5, 2021
Zytnicki, Matthias, 2021, "Datasets for the "srnadiff" article.", https://doi.org/10.15454/0DCIGO, Portail Data INRAE, V1, UNF:6:idTlcoB9fosBX2MMBcHCRA== [fileUNF]
The dataset contains all the BAM files in order to reproduce the results given in the article.
Apr 26, 2021 - Parasitic transcriptome regulation in M. incognita
Danchin, Etienne; Péré, Arthur; Eves-van den Akker, Sebastian; Bournaud, Caroline, 2021, "Enriched GO terms in predicted dorsal gland effectors", https://doi.org/10.15454/2O77EF, Portail Data INRAE, V1, UNF:6:V3kqvCFEYcsZ8EHNP3r6Ow== [fileUNF]
By cross referencing the list of M. incognita proteins having a predicted signal peptide for secretion and no predicted transmembrane region with the list of proteins encoded by genes with Mel-DOG motifs in their upstream regions, we could predict 457 candidate dorsal gland (DG)...
Apr 26, 2021 - Parasitic transcriptome regulation in M. incognita
Danchin, Etienne, 2021, "Ancestral reconstruction of the origin of M. incognita effectors in the Meloidogyne genus", https://doi.org/10.15454/OJMRDD, Portail Data INRAE, V1, UNF:6:K4noZaEQBBmM7ZCn8ESQNQ== [fileUNF]
Based on the mapping of non-redundant known M. incognita subventral (SvG) and dorsal (DG) gland effectors on the genomes of five Meloidogyne species ancestral numbers were deduced across their phylogeny using parsimony inference with Mesquite (Maddison & Maddison, 2014). In the g...
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