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Ensembl 2019

delete2018-11-08
delete699
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OA
AI
F
Fiona Cunningham
P
Premanand Achuthan
W
Wasiu Akanni
J
James E. Allen
M
M Ridwan Amode
I
Irina M. Armean
R
Ruth Bennett
J
Jyothish Bhai
K
Konstantinos Billis
S
Sanjay Boddu
C
Carla Cummins
C
Claire Davidson
K
Kamalkumar Dodiya
A
Astrid Gall
C
Carlos García Girón
L
Laurent Gil
T
Tiago Grego
L
Leanne Haggerty
E
Erin Haskell
T
Thibaut Hourlier
O
Osagie Izuogu
S
Sophie H. Janacek
T
Thomas Juettemann
M
Mike Kay
M
Matthew R. Laird
I
Ilias Lavidas
Z
Zhicheng Liu
J
Jane Loveland
J
José Carlos Marugán
T
Thomas Maurel
A
Aoife McMahon
B
Benjamin Moore
J
Joannella Morales
J
Jonathan M. Mudge
M
Michael Nuhn
D
Denye Ogeh
A
Anne Parker
A
Andrew Parton
M
Mateus Patrício
A
Ahamed Imran Abdul Salam
B
Bianca M. Schmitt
H
Helen Schuilenburg
D
Dan Sheppard
H
Helen Sparrow
E
Eloise Stapleton
M
M. Szuba
K
Kieron Taylor
G
Glen Threadgold
A
Anja Thormann
A
Alessandro Vullo
B
Brandon Walts
A
Andrea Winterbottom
A
Amonida Zadissa
M
Marc Chakiachvili
A
Adam Frankish
S
Sarah Hunt
M
Myrto Kostadima
L
Langridge, Nick
F
Fergal J. Martin
M
Matthieu Muffato
E
Emily Perry
M
Magali Ruffier
D
D. Staines
S
Stephen J. Trevanion
B
Bronwen Aken
A
Andrew Yates
D
Daniel R. Zerbino
P
Paul Flicek *
DOI:10.1093/nar/gky1113delete
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Abstract

Abstract

En 中文
The Ensembl project (https://www.ensembl.org) makes key genomic data sets available to the entire scientific community without restrictions. Ensembl seeks to be a fundamental resource driving scientific progress by creating, maintaining and updating reference genome annotation and comparative genomics resources. This year we describe our new and expanded gene, variant and comparative annotation capabilities, which led to a 50% increase in the number of vertebrate genomes we support. We have also doubled the number of available human variants and added regulatory regions for many mouse cell types and developmental stages. Our data sets and tools are available via the Ensembl website as well as a through a RESTful webservice, Perl application programming interface and as data files for download.
Keywords:
GENOMES
PATHOGENICITY
ANNOTATIONS
BIOLOGY
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