SyntenyViewer: a comparative genomics-driven translational research tool

Autor: Raphael Flores, Cécile Huneau, Laura Burlot, Mathilde Lainé, Erik Kimmel, Cyril Pommier, Michael Alaux, Anne-Françoise Adam-Blondon, Caroline Pont, Hadi Quesneville, Jerome Salse
Přispěvatelé: Unité de Recherche Génomique Info (URGI), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), ANR-11-BSV6-0008,PAGE,Evolution des génomes de Plantes et Animaux(2011), ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011), ANR-10-BTBR-0003,BREEDWHEAT,Développer de nouvelles variétés de blé pour une agriculture durable(2010)
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Database-The journal of Biological Databases and Curation
Database-The journal of Biological Databases and Curation, 2023, 2023, ⟨10.1093/database/baad027⟩
ISSN: 1758-0463
Popis: SyntenyViewer is a public web-based tool relying on a relational database available at https://urgi.versailles.inrae.fr/synteny delivering comparative genomics data and associated reservoir of conserved genes between angiosperm species for both fundamental (evolutionary studies) and applied (translational research) applications. SyntenyViewer is made available for (i) providing comparative genomics data for seven major botanical families of flowering plants, (ii) delivering a robust catalog of 103 465 conserved genes between 44 species and inferred ancestral genomes, (iii) allowing us to investigate the evolutionary fate of ancestral genes and genomic regions in modern species through duplications, inversions, deletions, fusions, fissions and translocations, (iv) use as a tool to conduct translational research of key trait-related genes from model species to crops and (v) offering to host any comparative genomics data following simplified procedures and formats Database URL https://urgi.versailles.inrae.fr/synteny
Databáze: OpenAIRE