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Ensembl Genomes 2020—enabling non-vertebrate genomic research

Authors :
Bruno Contreras-Moreira
Laurent Gil
Uma Maheswari
Erin Haskell
Paul Flicek
Kim E. Hammond-Kosack
Stephen J. Trevanion
Matthieu Barba
Sushma Naithani
Matthew Russell
Mark D. McDowall
Nancy George
Andrew D. Yates
Emily Perry
Vasily Sitnik
Dan Bolser
Michael Paulini
Paul J. Kersey
Pankaj Jaiswal
Mikkel B. Christensen
Helder Pedro
Gareth Maslen
Lahcen Cambell
Sophie Helen Janacek
Daniel M. Staines
Gary Williams
Matthieu Muffato
Carla Cummins
Wasiu Akanni
Marc Rosello
James E. Allen
Irene Papatheodorou
Astrid Gall
Nick Langridge
Marc Chakiachvili
Joshua C. Stein
Mateus Patricio
Silvie Fexova
Nishadi De Silva
Sarah E. Hunt
Benjamin Moore
Martin Urban
Justin Preece
Marcela K. Tello-Ruiz
Guy Naamati
Andrew Olson
Parul Gupta
Thomas Maurel
Jorge Alvarez-Jarreta
Doreen Ware
Paul Davis
Manuel Carbajo
Alayne Cuzick
Kevin L. Howe
Sharon Wei
Source :
Nucleic Acids Research
Publication Year :
2019
Publisher :
Oxford University Press (OUP), 2019.

Abstract

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of interfaces to genomic data across the tree of life, including reference genome sequence, gene models, transcriptional data, genetic variation and comparative analysis. Data may be accessed via our website, online tools platform and programmatic interfaces, with updates made four times per year (in synchrony with Ensembl). Here, we provide an overview of Ensembl Genomes, with a focus on recent developments. These include the continued growth, more robust and reproducible sets of orthologues and paralogues, and enriched views of gene expression and gene function in plants. Finally, we report on our continued deeper integration with the Ensembl project, which forms a key part of our future strategy for dealing with the increasing quantity of available genome-scale data across the tree of life.

Details

ISSN :
13624962 and 03051048
Volume :
48
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....39960d68152c3f45a7845609bded93fd