Asso-279: data, results and software associated with the genome-wide association and prediction study of a grapevine diversity panel

Dataset

DOI

Here are data, results and software as used for the article "A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs" by Flutre T, Le Cunff L, Fodor A, Launay A, Romieu C, Berger G, Bertrand Y, Terrier N, Beccavin I, Bouckenooghe V, Roques M, Pinasseau L, Verbaere A, Sommerer N, Cheynier V, Bacilieri R, Boursiquot JM, Lacombe T, Laucou V, This P, Péros JP, and Doligez A.

Please, start by clicking on the file "0_README.html" that describes how to navigate through all the files.

Identifier
DOI	https://doi.org/10.15454/8DHKGL
Metadata Access	https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/8DHKGL

Provenance
Creator	Flutre, Timothée ; Le Cunff, Loïc ; Fodor, Agota; Launay, Amandine ; Romieu, Charles ; Berger, Gilles; Bertrand, Yves; Terrier, Nancy; Beccavin, Isabelle; Bouckenooghe, Virginie; Roques, Maryline; Pinasseau, Lucie; Verbaere, Arnaud; Sommerer, Nicolas; Cheynier, Véronique (ORCID: 0000-0001-7759-284X); Bacilieri, Roberto; Boursiquot, Jean-Michel; Lacombe, Thierry ; Laucou, Valérie; This, Patrice ; Péros, Jean-Pierre ; Doligez, Agnès
Publisher	Recherche Data Gouv
Contributor	Flutre, Timothée
Publication Year	2022
Funding Reference	ANR - Agence nationale de la recherche GrapeReSeq - ANR-08-KBBE-008 ; ANR - Agence nationale de la recherche DLVITIS - ANR-08-GENM-002 ; EC - European Commission Innovine - 311775 ; CASDAR Créer les cépages de demain avec les outils d’aujourd’hui ; INRA méta-programme Selgen FruitSelGen
Rights	etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess	true
Contact	Flutre, Timothée (INRA - Institut National de la Recherche Agronomique)

Representation
Resource Type	Dataset
Format	text/html; text/markdown; text/x-r-source; application/pdf; text/x-r-markdown; text/tsv; text/tab-separated-values; text/x-python; application/gzip; application/octet-stream
Size	14826; 9744; 10219; 8865; 47163; 4993; 6801; 7211; 13308; 11589; 13409; 931089; 4822; 6745; 7213; 7203; 7729; 74436; 6747; 6753; 6281; 7219; 7215; 7195; 7697; 7668; 7701; 8220; 1727378; 7205; 7217; 6564; 7550; 7688; 14394; 36941; 8346; 13109; 8793; 7497; 33106; 9359; 37988; 6805; 6827; 6385; 6831; 5929; 6371; 6381; 6823; 6813; 6357; 6361; 6799; 5911; 5915; 5477; 5919; 6807; 5469; 6367; 6353; 5925; 6809; 5917; 5475; 18384; 6370; 6351; 6359; 6797; 6349; 6791; 6814; 25898; 6347; 6393; 6373; 6377; 6363; 6369; 6803; 6365; 6355; 6793; 6368; 6812; 6789; 6341; 120211; 27032; 1012590; 8289; 36164; 12568; 21820; 8607; 8942; 25075; 2737; 9078; 2744; 68996; 29600; 12921; 383741; 10434; 99492; 35266; 42688; 1618531; 11320; 4853047; 11857; 275872; 37784; 79847; 3583857; 198579; 1160991; 80491; 106842; 1633406; 1942323; 50071; 35579; 10428; 973294; 60702; 8593; 298611547; 31294; 8464; 6253; 7336; 491; 15265500; 18107453; 22820393; 22646999; 284240795; 281278668; 935600; 1199224; 155974; 367521; 137326; 10023; 260826; 11599; 27021; 19503; 20383; 33843; 293269; 80060; 687171; 10158; 49012; 34657; 63022
Version	2.0
Discipline	Agriculture, Forestry, Horticulture; Life Sciences; Biology; Omics; General Genetics; Plant Science