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Plain Text - 2.6 KB -
MD5: 830feae070ae70b1b2ac57d6c4db094c
ReadMe file - data citation, description and terms of use. |
Plain Text - 889 B -
MD5: 41b43b26deb8286d2538e4ff1f622d8d
Dataset feeding rate (figure 2a) |
Plain Text - 44.7 KB -
MD5: 3b0c00e4eaf7064030cc4ffa53a80332
Dataset infectivity (figure 3a,b) |
Plain Text - 51.1 KB -
MD5: 04f0e27465d319a3d9ba3b66ff9e6702
Dataset mosquito mortality (figure 2b) |
R Syntax - 3.7 KB -
MD5: d5c079a498b199c7d75a89f44abf9957
R code |
Apr 29, 2024 - DYNADIV Team
Lorieux, Mathias; Triay, Cécile, 2024, "Called genotypes (chromosome 1) from Illumina whole-genome sequencing of an Indica x Japonica rice F2 population", https://doi.org/10.23708/8FXUNC, DataSuds, V1
Motivation: Genotyping of bi-parental populations can be performed with low-coverage next-generation sequencing (LC-NGS). This allows the creation of highly saturated genetic maps at reasonable cost, precisely localized recombination breakpoints (i.e., the crossovers), and minimi... |
Apr 29, 2024 -
Called genotypes (chromosome 1) from Illumina whole-genome sequencing of an Indica x Japonica rice F2 population
Gzip Archive - 206.7 MB -
MD5: 161bb7f90f38757bd830bc5e005cd453
Called genotypes (chromosome 1) from Illumina whole-genome sequencing of an Indica x Japonica rice F2 population |
Apr 29, 2024 -
Called genotypes (chromosome 1) from Illumina whole-genome sequencing of an Indica x Japonica rice F2 population
Plain Text - 1.0 KB -
MD5: 91fe283277eff5f80f7fb8e3703d8c40
ReadMe file - data citation, description and terms of use. |
Apr 11, 2024 - UMR MERIT
Cottrell, Gilles; Bonnet, Emmanuel; Le Hesran, Jean-Yves; Yadouleton, Anges; Atchade, Aurore; Fiogbe, Marc; Abdoulaye Alfa, Daleb; Yovo, Emmanuel; Hounsa, Sandrine; Bationo, Cédric; Gonzalez, Raquel; Gaudart, Jean; Massougbodji, Achille, 2023, "STREESCO (STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an effective response to COVID-19) : données et documentations du projet", https://doi.org/10.23708/DAGART, DataSuds, V2, UNF:6:0Lgijn8aQgM+GdNE2RpJgQ== [fileUNF]
Dans le cadre du projet STREESCO (STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an effective response to COVID-19), la collecte systématique de données sur les résultats sanitaires comprend des méthodes de surveillance basées sur les événements, les pat... |
Tabular Data - 2.1 MB - 188 Variables, 4178 Observations - UNF:6:S91+kjrQZFrSFTXGB28E3A==
Data and Data dictionary |