Yates Andrew, Akanni Wasiu, Amode M Ridwan, Barrell Daniel, Billis Konstantinos, Carvalho-Silva Denise, Cummins Carla, Clapham Peter, Fitzgerald Stephen, Gil Laurent, Girón Carlos García, Gordon Leo, Hourlier Thibaut, Hunt Sarah E, Janacek Sophie H, Johnson Nathan, Juettemann Thomas, Keenan Stephen, Lavidas Ilias, Martin Fergal J, Maurel Thomas, McLaren William, Murphy Daniel N, Nag Rishi, Nuhn Michael, Parker Anne, Patricio Mateus, Pignatelli Miguel, Rahtz Matthew, Riat Harpreet Singh, Sheppard Daniel, Taylor Kieron, Thormann Anja, Vullo Alessandro, Wilder Steven P, Zadissa Amonida, Birney Ewan, Harrow Jennifer, Muffato Matthieu, Perry Emily, Ruffier Magali, Spudich Giulietta, Trevanion Stephen J, Cunningham Fiona, Aken Bronwen L, Zerbino Daniel R, Flicek Paul
European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Nucleic Acids Res. 2016 Jan 4;44(D1):D710-6. doi: 10.1093/nar/gkv1157. Epub 2015 Dec 19.
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.
Ensembl项目（http://www.ensembl.org）是一个用于基因组注释、分析、存储和传播的系统，旨在促进从脊索动物和关键模式生物获取基因组注释。它可通过我们的主要网站和早期访问的Pre!网站访问来自87个物种的数据。今年，我们引入了三个新注释的物种，并在我们支持的物种中发布了大量更新内容，重点是人类、小鼠、斑马鱼和大鼠最新基因组组装的数据。我们还通过一个专门的网站（http://grch37.ensembl.org）为之前的人类基因组组装版本GRCh37提供了两次数据更新。通过整合额外的第三方数据，我们的工具，特别是VEP，有了显著改进。REST现在能够进行更大规模的分析，我们的调控数据BioMart可以更快地给出结果。该网站现在能够显示长程相互作用，如在顺式调控数据集中发现的那些相互作用。最后，我们推出了一个针对移动设备优化的网站，可提供基因、变异和表型的视图。我们的数据可无限制获取，所有代码可在Apache 2.0许可下从我们的GitHub组织网站（http://github.com/Ensembl）获得。
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