Andrew Yates 1 , Wasiu Akanni 1 , M. Ridwan Amode 1 , Daniel Barrell 1 , 2 , Konstantinos Billis 1 , Denise Carvalho-Silva 1 , Carla Cummins 1 , Peter Clapham 2 , Stephen Fitzgerald 1 , Laurent Gil 1 , Carlos García Girón 1 , Leo Gordon 1 , Thibaut Hourlier 1 , Sarah E. Hunt 1 , Sophie H. Janacek 1 , Nathan Johnson 1 , Thomas Juettemann 1 , Stephen Keenan 1 , Ilias Lavidas 1 , Fergal J. Martin 1 , Thomas Maurel 1 , William McLaren 1 , Daniel N. Murphy 1 , Rishi Nag 1 , Michael Nuhn 1 , Anne Parker 1 , Mateus Patricio 1 , Miguel Pignatelli 1 , Matthew Rahtz 2 , Harpreet Singh Riat 1 , Daniel Sheppard 1 , Kieron Taylor 1 , Anja Thormann 1 , Alessandro Vullo 1 , Steven P. Wilder 1 , Amonida Zadissa 1 , Ewan Birney 1 , Jennifer Harrow 2 , Matthieu Muffato 1 , Emily Perry 1 , Magali Ruffier 1 , Giulietta Spudich 1 , Stephen J. Trevanion 1 , Fiona Cunningham 1 , Bronwen L. Aken 1 , Daniel R. Zerbino 1 , Paul Flicek 1 , 2 , *
19 December 2015
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.