Mining plant genomic and genetic data using the GnpIS information system

Autor: D. Charruaud, Thomas Letellier, Erik Kimmel, Joelle Amselem, Véronique Jamilloux, Françoise Alfama, Anne-Françoise Adam-Blondon, Nicolas Lapalu, Cyril Pommier, Célia Michotey, Michael Alaux, Sophie Durand, Mikaël Loaec, Nathalie Choisne, Raphaël-Gauthier Flores, Hadi Quesneville, Nacer Mohellibi, Claire Guerche, G. Merceron, Delphine Steinbach
Přispěvatelé: Unité de Recherche Génomique Info (URGI), Institut National de la Recherche Agronomique (INRA), Université Paris-Saclay, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), Espace Recherche Innovation, Association pour le Développement de la Recherche et de l’Innovation dans le NORD PAS DE CALAIS (ADRINORD ), BIOlogie et GEstion des Risques en agriculture (BIOGER), AgroParisTech-Institut National de la Recherche Agronomique (INRA), ANR GnpAsso, ANR PHENOME, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Aalt D.J van Dijk, Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Plant genomics databases
Plant genomics databases, 1533, Springer Science + Business Media B.V., 336 p., 2017, Methods in Molecular Biology, 978-1-4939-6658-5. ⟨10.1007/978-1-4939-6658-5_5⟩
Plant Genomics Databases. Methods and Protocols
Aalt D.J van Dijk. Plant Genomics Databases. Methods and Protocols, 1533, Springer, 2017, Methods in Molecular Biology, 978-1-4939-6658-5. ⟨10.1007/978-1-4939-6658-5_5⟩
Methods in Molecular Biology ISBN: 9781493966561
DOI: 10.1007/978-1-4939-6658-5_5⟩
Popis: GnpIS is an information system designed to help scientists working on plants and fungi to decipher the molecular and genetic architecture of trait variations by facilitating the navigation through genetic, genomic, and phenotypic information. The purpose of the present chapter is to illustrate how users can (1) explore datasets from phenotyping experiments in order to build new datasets for studying genotype × environment interactions in traits, (2) browse into the results of other genetic analysis data such as GWAS to generate or check working hypothesis about candidate genes or to identify important alleles and germplasms for breeding programs, and (3) explore the polymorphism in specific area of the genome using InterMine, JBrowse tools embedded in the GnpIS information system.
Databáze: OpenAIRE