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Ensembl 2016

Authors :
Andrew Yates
Wasiu Akanni
M. Ridwan Amode
Daniel Barrell
Konstantinos Billis
Denise Carvalho-Silva
Carla Cummins
Peter Clapham
Stephen Fitzgerald
Laurent Gil
Carlos García Girón
Leo Gordon
Thibaut Hourlier
Sarah E. Hunt
Sophie H. Janacek
Nathan Johnson
Thomas Juettemann
Stephen Keenan
Ilias Lavidas
Fergal J. Martin
Thomas Maurel
William McLaren
Daniel N. Murphy
Rishi Nag
Michael Nuhn
Anne Parker
Mateus Patricio
Miguel Pignatelli
Matthew Rahtz
Harpreet Singh Riat
Daniel Sheppard
Kieron Taylor
Anja Thormann
Alessandro Vullo
Steven P. Wilder
Amonida Zadissa
Ewan Birney
Jennifer Harrow
Matthieu Muffato
Emily Perry
Magali Ruffier
Giulietta Spudich
Stephen J. Trevanion
Fiona Cunningham
Bronwen L. Aken
Daniel R. Zerbino
Paul Flicek
Source :
Nucleic Acids Research
Publication Year :
2015

Abstract

The Ensembl project (http://www.ensembl.org) is a system for genome annotation, analysis, storage and dissemination designed to facilitate the access of genomic annotation from chordates and key model organisms. It provides access to data from 87 species across our main and early access Pre! websites. This year we introduced three newly annotated species and released numerous updates across our supported species with a concentration on data for the latest genome assemblies of human, mouse, zebrafish and rat. We also provided two data updates for the previous human assembly, GRCh37, through a dedicated website (http://grch37.ensembl.org). Our tools, in particular the VEP, have been improved significantly through integration of additional third party data. REST is now capable of larger-scale analysis and our regulatory data BioMart can deliver faster results. The website is now capable of displaying long-range interactions such as those found in cis-regulated datasets. Finally we have launched a website optimized for mobile devices providing views of genes, variants and phenotypes. Our data is made available without restriction and all code is available from our GitHub organization site (http://github.com/Ensembl) under an Apache 2.0 license.

Details

ISSN :
13624962
Volume :
44
Issue :
D1
Database :
OpenAIRE
Journal :
Nucleic acids research
Accession number :
edsair.doi.dedup.....8f75a8c24a54768e73512bda654481ca