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1.
Database (Oxford) ; 20232023 05 09.
Article in English | MEDLINE | ID: mdl-37159239

ABSTRACT

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.


Subject(s)
Magnoliopsida , Translational Research, Biomedical , Genomics , Crops, Agricultural , Databases, Factual
2.
Genome Biol ; 19(1): 111, 2018 08 17.
Article in English | MEDLINE | ID: mdl-30115101

ABSTRACT

The Wheat@URGI portal has been developed to provide the international community of researchers and breeders with access to the bread wheat reference genome sequence produced by the International Wheat Genome Sequencing Consortium. Genome browsers, BLAST, and InterMine tools have been established for in-depth exploration of the genome sequence together with additional linked datasets including physical maps, sequence variations, gene expression, and genetic and phenomic data from other international collaborative projects already stored in the GnpIS information system. The portal provides enhanced search and browser features that will facilitate the deployment of the latest genomics resources in wheat improvement.


Subject(s)
Genome, Plant , Sequence Analysis, DNA , Triticum/genetics , Base Sequence , Bread , Data Mining , Gene Expression Regulation, Plant , Genes, Plant , Phenotype , Reference Standards
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