.png){kind=icon}
返回
Ensembl 2020
.png){kind=icon}
OA
AI
DOI：10.1093/nar/gkz966.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The Ensembl (https://www.ensembl.org) is a system for generating and distributing genome annotation such as genes, variation, regulation and comparative genomics across the vertebrate subphylum and key model organisms. The Ensembl annotation pipeline is capable of integrating experimental and reference data from multiple providers into a single integrated resource. Here, we present 94 newly annotated and re-annotated genomes, bringing the total number of genomes offered by Ensembl to 227. This represents the single largest expansion of the resource since its inception. We also detail our continued efforts to improve human annotation, developments in our epigenome analysis and display, a new tool for imputing causal genes from genome-wide association studies and visualisation of variation within a 3D protein model. Finally, we present information on our new website. Both software and data are made available without restriction via our website, online tools platform and programmatic interfaces (available under an Apache 2.0 license) and data updates made available four times a year.
Keyword:
BLUEPRINT
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
13.1
论文数:
3.6W
被引数:
29.0W
机构
引用论文
分享收藏
LiteMol suite: interactive web-based visualization of large-scale macromolecular structure dataLiteMol套件: 基于web的大型大分子结构数据的交互式可视化.png)
NATURE METHODS
NATURE METHODSIF32.1
PREAI
分享收藏Flexible and scalable diagnostic filtering of genomic variants using G2P with Ensembl VEP使用G2P和Ensembl VEP对基因组变异进行灵活且可扩展的诊断过滤NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm使用SIFT算法预测编码非同义变体对蛋白质功能的影响NATURE PROTOCOLS
NATURE PROTOCOLSIF16
PREAI
分享收藏DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA-gene interactionsNUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏
查看更多内容