Ensembl 2016.

Ensembl 2016.
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DOI:
10.1093/nar/gkv1157
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发表时间:
2016-01-04
影响因子:
14.9
通讯作者:
Flicek P
Flicek P
中科院分区:
生物学2区
文献类型:
--
作者:
Yates A;Akanni W;Amode MR;Barrell D;Billis K;Carvalho-Silva D;Cummins C;Clapham P;Fitzgerald S;Gil L;Girón CG;Gordon L;Hourlier T;Hunt SE;Janacek SH;Johnson N;Juettemann T;Keenan S;Lavidas I;Martin FJ;Maurel T;McLaren W;Murphy DN;Nag R;Nuhn M;Parker A;Patricio M;Pignatelli M;Rahtz M;Riat HS;Sheppard D;Taylor K;Thormann A;Vullo A;Wilder SP;Zadissa A;Birney E;Harrow J;Muffato M;Perry E;Ruffier M;Spudich G;Trevanion SJ;Cunningham F;Aken BL;Zerbino DR;Flicek P

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Ensembl项目(http://www.ensembl.org)是一个基因组注释、分析、存储和传播系统,旨在促进脊索动物和关键模式生物基因组注释的获取。它提供了87个物种的数据访问我们的主要和早期访问Pre!网站。今年,我们引入了三个新标注的物种,并发布了大量关于我们支持的物种的更新,重点是人类、小鼠、斑马鱼和大鼠的最新基因组组装数据。我们还通过专门的网站(http://grch37.ensembl.org)提供了之前的人类组装GRCh37的两次数据更新。通过集成额外的第三方数据,我们的工具,特别是VEP,已经得到了显著的改进。REST现在能够进行更大规模的分析,我们的监管数据BioMart可以提供更快的结果。该网站现在能够显示远程相互作用,例如在顺式监管数据集中发现的那些。最后,我们推出了一个针对移动设备进行优化的网站,提供基因、变异和表型的视图。我们的数据不受限制,所有代码都可以在Apache 2.0许可下从我们的GitHub组织网站(http://github.com/Ensembl)获得。
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.