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

delete2017-10-30
delete362
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OA
AI
P
Paul Kersey *
J
James E. Allen
A
Alexis Allot
M
Matthieu Barba
S
Sanjay Boddu
B
Bruce J. Bolt
D
Denise Carvalho‐Silva
M
Mikkel Christensen
P
Paul A. Davis
C
Christoph Grabmueller
N
Navin Kumar
Z
Zicheng Liu
T
Thomas Maurel
M
Moore, Ben
M
Mark D. McDowall
U
Uma Maheswari
G
Guy Naamati
V
Victoria Newman
C
Chuang Kee Ong
M
Michael Paulini
H
Helder Pedro
E
Emily Perry
M
Matthew Russell
H
Helen Sparrow
E
Electra Tapanari
K
Kieron Taylor
A
Alessandro Vullo
G
Gareth Williams
A
Amonida Zadissia
A
Andrew Olson
J
Joshua C. Stein
S
Sharon Wei
M
Marcela K Tello-Ruiz
D
Doreen Ware
A
Aurélien Luciani
S
Simon Potter
R
ROBERT FINN
M
Martin Urban
K
K. E. Hammond‐Kosack
D
Dan Bolser
N
Nishadi De Silva
K
Kevin Howe
N
Nicholas Langridge
G
G. Maslen
D
D. Staines
A
Andrew Yates
DOI:10.1093/nar/gkx1011delete
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Abstract

Abstract

En 中文
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.
Keywords:
EVOLUTION
FAMILIES
RESOURCE
GENES
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Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
Papers:
3.6W
Citations:
29.0W

Organization

E
european molecular biology laboratory (embl)
Scholars:
8.3K
Papers: 5.0K
Citations: 31
W
wellcome trust sanger institute
Scholars:
6.9K
Papers: 4.3K
Citations: 17
C
Cornell University
Scholars:
6.3W
Papers: 5.4W
Citations: 10.9W
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