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21 to 30 of 103 Results
Apr 10, 2021 - Transposons mobility in M. incognita
Kozlowski, Djampa, 2020, "TE polymorphisms detection and analysis", https://doi.org/10.15454/EWJCT8, Portail Data INRAE, V3, UNF:6:E+xGPf2dIik9HjdvU3Bv3A== [fileUNF]
This dataset contains i) output files from "Kozlowski D. 2020a. Transposable Elements prediction and annotation in the M. incognita genome. Portail Data INRAE [Internet]. Available from: https://doi.org/10.15454/EPTDOS", "Kozlowski D. 2020b. Transposable Elements prediction and a...
Apr 10, 2021 - Transposons mobility in M. incognita
Kozlowski, Djampa, 2020, "Transposable Elements prediction and annotation in the M. incognita genome", https://doi.org/10.15454/EPTDOS, Portail Data INRAE, V3
This datasets contains all the essential files produced during the TE prediction, annotation, and post-processing in the M. incognita genome (e.g. TE consensus library, TE annotations, and associated statistics). Also contains the global workflow (used command lines), the REPET c...
Apr 10, 2021 - Transposons mobility in M. incognita
Kozlowski, Djampa, 2020, "Transposable Elements prediction and annotation in the C. elegans genome", https://doi.org/10.15454/LQCIW0, Portail Data INRAE, V2
This datasets contains all the essential files produced during the TE prediction, annotation, and post-processing in the C. elegans genome (e.g. TE consensus library, TE annotations, and associated statistics). Also contains the global workflow (used command lines), the REPET con...
Mar 31, 2021
Dutech, Christian Cyril; Demené, Arthur, 2021, "Chromosomal rearrangements but no change of genes and transposable elements repertoires in an invasive forest-pathogenic fungus", https://doi.org/10.15454/UTIB8U, Portail Data INRAE, V1
We present a new de-novo whole-genome assembly obtained from a high quality DNA extraction and long-reads sequencing Nanopore technology obtained from an isolate sampled in the native Japanese area of the species. The comparison with a recently published reference genome showed n...
Mar 19, 2021 - Vocabulaires Ouverts
DipSO, 2021, "Thésaurus INRAE", https://doi.org/10.15454/J8GANU, Portail Data INRAE, V1
Thésaurus ouvert et partagé couvrant les domaines de recherche d’INRAE. Il sert de référentiel au sein de l’institut pour indexer et annoter des documents, pages web, descriptions d’activités, jeux de données, à des fins de recherche ou d’analyse de l’information. En savoir plus...
Mar 18, 2021 - Grapevine Downy Mildew Genomics Dataverse
Fontaine, Michael C.; Labbé, Frédéric; Dussert, Yann; Delière, Laurent; Richart-Cervera, Sylvie; Giraud Tatiana; Delmotte, François, 2021, "Data from: Europe as a bridgehead in the worldwide invasion history of the grapevine downy mildew, Plasmopara viticola", https://doi.org/10.15454/FD86M2, Portail Data INRAE, V1
This dataset archive includes analysis files for the paper "Europe as a bridgehead in the worldwide invasion history of the grapevine downy mildew, Plasmopara viticola", deposited on biorxiv (https://doi.org/10.1101/2020.09.22.307678 ) and in press in the journal Current Biology...
Mar 12, 2021 - Rhizotron Dataverse
Traore, Amidou, 2021, "Root water status in three contrasted herbaceous species grown in rhizotrons", https://doi.org/10.15454/NWRHDA, Portail Data INRAE, V1
This dataset contains NMR and ecophysiological data that support the findings of a manuscript “Circadian variation of root water status in three herbaceous species assessed by portable NMR” submitted to Plants for publication. Data are acquired using NMR MOUSE® spectrometer as de...
Mar 8, 2021
Bortolami, Giovanni; Gregory A. Gambetta; Cédric Cassan; Silvina Dayer; Elena Farolfi; Nathalie Ferrer; Yves Gibon; Jérôme Jolivet; Pascal Lecomte; Chloé E.L. Delmas, 2021, "Data for The Physiology behind Drought and Vascular Pathogen Interaction: Grapevines Under Drought Do Not Express Esca Leaf Symptoms", https://doi.org/10.15454/SHLIHA, Portail Data INRAE, V1, UNF:6:+P1fKUQQ5gXPTDjZzsa+3w== [fileUNF]
Raw dataset for "The physiology behind drought and vascular pathogen interaction: grapevines under drought do not express esca leaf symptoms". Four different data .xlsx files and four .txt data description comprehending all the data necessary for tables, statistical tests, and fi...
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).
Feb 16, 2021 - URGI Plant and Fungi Dataverse
Michotey, Celia, 2021, "Plant Bioinformatics Facility data management plan", https://doi.org/10.15454/9HM5UI, Portail Data INRAE, V1
Data management plan of the Plant Bioinformatics Facility, hosted at URGI. Copyrights The creator(s) of this plan accept(s) that all or part of the text may be reused and personalized if necessary for another plan. You can cite this plan’s DOI as the source, but the use of any up...
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