Koscielny Gautier, Le Texier Vincent, Gopalakrishnan Chellappa, Kumanduri Vasudev, Riethoven Jean-Jack, Nardone Francesco, Stanley Eleanor, Fallsehr Christine, Hofmann Oliver, Kull Meelis, Harrington Eoghan, Boué Stéphanie, Eyras Eduardo, Plass Mireya, Lopez Fabrice, Ritchie William, Moucadel Virginie, Ara Takeshi, Pospisil Heike, Herrmann Alexander, G Reich Jens, Guigó Roderic, Bork Peer, Doeberitz Magnus von Knebel, Vilo Jaak, Hide Winston, Apweiler Rolf, Thanaraj Thangavel Alphonse, Gautheret Daniel
European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Genomics. 2009 Mar;93(3):213-20. doi: 10.1016/j.ygeno.2008.11.003. Epub 2008 Dec 24.
The Alternative Splicing and Transcript Diversity database (ASTD) gives access to a vast collection of alternative transcripts that integrate transcription initiation, polyadenylation and splicing variant data. Alternative transcripts are derived from the mapping of transcribed sequences to the complete human, mouse and rat genomes using an extension of the computational pipeline developed for the ASD (Alternative Splicing Database) and ATD (Alternative Transcript Diversity) databases, which are now superseded by ASTD. For the human genome, ASTD identifies splicing variants, transcription initiation variants and polyadenylation variants in 68%, 68% and 62% of the gene set, respectively, consistent with current estimates for transcription variation. Users can access ASTD through a variety of browsing and query tools, including expression state-based queries for the identification of tissue-specific isoforms. Participating laboratories have experimentally validated a subset of ASTD-predicted alternative splice forms and alternative polyadenylation forms that were not previously reported. The ASTD database can be accessed at http://www.ebi.ac.uk/astd.
可变剪接与转录本多样性数据库(ASTD)提供了大量的可变转录本集合,这些转录本整合了转录起始、聚腺苷酸化和剪接变体数据。可变转录本是通过将转录序列映射到完整的人类、小鼠和大鼠基因组而获得的,使用的是为ASD(可变剪接数据库)和ATD(可变转录本多样性数据库)开发的计算流程的扩展版本,而这两个数据库现已被ASTD取代。对于人类基因组,ASTD分别在68%、68%和62%的基因集中识别出剪接变体、转录起始变体和聚腺苷酸化变体,这与目前对转录变异的估计一致。用户可以通过各种浏览和查询工具访问ASTD,包括基于表达状态的查询,以识别组织特异性异构体。参与的实验室已经通过实验验证了一部分ASTD预测的、以前未报道过的可变剪接形式和可变聚腺苷酸化形式。可通过http://www.ebi.ac.uk/astd访问ASTD数据库。