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Ensembl 2017

delete2016-11-28
delete457
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OA
AI
B
Bronwen Aken
P
Premanand Achuthan
W
Wasiu Akanni
M
M Ridwan Amode
F
Friederike Bernsdorff
J
Jyothish Bhai
K
Konstantinos Billis
D
Denise Carvalho‐Silva
C
Carla Cummins
P
Peter Clapham
L
Laurent Gil
C
Carlos García Girón
L
Leo I. Gordon
T
Thibaut Hourlier
S
Sarah Hunt
S
Sophie H. Janacek
T
Thomas Juettemann
S
Stephen Keenan
M
Matthew R. Laird
I
Ilias Lavidas
T
Thomas Maurel
W
William McLaren
B
Benjamin Moore
D
Daniel N. Murphy
R
Rishi Nag
V
Victoria Newman
M
Michael Nuhn
C
Chuang Kee Ong
A
Anne Parker
M
Mateus Patrício
H
Harpreet Singh Riat
S
Sheppard, Daniel
H
Helen Sparrow
K
Kieron Taylor
A
Anja Thormann
A
Alessandro Vullo
B
Brandon Walts
S
Steven P. Wilder
A
Amonida Zadissa
M
Myrto Kostadima
F
Fergal J. Martin
M
Matthieu Muffato
E
Emily Perry
M
Magali Ruffier
D
D. Staines
S
Stephen J. Trevanion
F
Fiona Cunningham
A
Andrew Yates
D
Daniel R. Zerbino
P
Paul Flicek *
DOI:10.1093/nar/gkw1104delete
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Abstract

Abstract

En 中文
Ensembl (www.ensembl.org) is a database and genome browser for enabling research on vertebrate genomes. We import, analyse, curate and integrate a diverse collection of large-scale reference data to create a more comprehensive view of genome biology than would be possible from any individual dataset. Our extensive data resources include evidence-based gene and regulatory region annotation, genome variation and gene trees. An accompanying suite of tools, infrastructure and programmatic access methods ensure uniform data analysis and distribution for all supported species. Together, these provide a comprehensive solution for large-scale and targeted genomics applications alike. Among many other developments over the past year, we have improved our resources for gene regulation and comparative genomics, and added CRISPR/Cas9 target sites. We released new browser functionality and tools, including improved filtering and prioritization of genome variation, Manhattan plot visualization for linkage disequilibrium and eQTL data, and an ontology search for phenotypes, traits and disease. We have also enhanced data discovery and access with a track hub registry and a selection of new REST end points. All Ensembl data are freely released to the scientific community and our source code is available via the open source Apache 2.0 license.
Keywords:
GENOME ANNOTATION
DATABASE
PROJECT
REFSEQ
VISUALIZATION
SOFTWARE
CATALOG
GENCODE
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

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: 5.1K
Citations: 31
W
wellcome trust sanger institute
Scholars:
6.9K
Papers: 4.3K
Citations: 17