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Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species.

Authors :
Kersey PJ
Allen JE
Allot A
Barba M
Boddu S
Bolt BJ
Carvalho-Silva D
Christensen M
Davis P
Grabmueller C
Kumar N
Liu Z
Maurel T
Moore B
McDowall MD
Maheswari U
Naamati G
Newman V
Ong CK
Paulini M
Pedro H
Perry E
Russell M
Sparrow H
Tapanari E
Taylor K
Vullo A
Williams G
Zadissia A
Olson A
Stein J
Wei S
Tello-Ruiz M
Ware D
Luciani A
Potter S
Finn RD
Urban M
Hammond-Kosack KE
Bolser DM
De Silva N
Howe KL
Langridge N
Maslen G
Staines DM
Yates A
Source :
Nucleic acids research [Nucleic Acids Res] 2018 Jan 04; Vol. 46 (D1), pp. D802-D808.
Publication Year :
2018

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 Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of programmatic and interactive interfaces to a rich range of data including genome sequence, gene models, transcript sequence, genetic variation, and comparative analysis. This paper provides an update to the previous publications about the resource, with a focus on recent developments and expansions. These include the incorporation of almost 20 000 additional genome sequences and over 35 000 tracks of RNA-Seq data, which have been aligned to genomic sequence and made available for visualization. Other advances since 2015 include the release of the database in Resource Description Framework (RDF) format, a large increase in community-derived curation, a new high-performance protein sequence search, additional cross-references, improved annotation of non-protein-coding genes, and the launch of pre-release and archival sites. Collectively, these changes are part of a continuing response to the increasing quantity of publicly-available genome-scale data, and the consequent need to archive, integrate, annotate and disseminate these using automated, scalable methods.<br /> (© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Details

Language :
English
ISSN :
1362-4962
Volume :
46
Issue :
D1
Database :
MEDLINE
Journal :
Nucleic acids research
Publication Type :
Academic Journal
Accession number :
29092050
Full Text :
https://doi.org/10.1093/nar/gkx1011