EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Nucleic Acids Res. 2012 Jul;40(Web Server issue):W276-80. doi: 10.1093/nar/gks338. Epub 2012 Apr 27.
The Protein Identifier Cross-Reference (PICR) service is a tool that allows users to map protein identifiers, protein sequences and gene identifiers across over 100 different source databases. PICR takes input through an interactive website as well as Representational State Transfer (REST) and Simple Object Access Protocol (SOAP) services. It returns the results as HTML pages, XLS and CSV files. It has been in production since 2007 and has been recently enhanced to add new functionality and increase the number of databases it covers. Protein subsequences can be Basic Local Alignment Search Tool (BLAST) against the UniProt Knowledgebase (UniProtKB) to provide an entry point to the standard PICR mapping algorithm. In addition, gene identifiers from UniProtKB and Ensembl can now be submitted as input or mapped to as output from PICR. We have also implemented a 'best-guess' mapping algorithm for UniProt. In this article, we describe the usefulness of PICR, how these changes have been implemented, and the corresponding additions to the web services. Finally, we explain that the number of source databases covered by PICR has increased from the initial 73 to the current 102. New resources include several new species-specific Ensembl databases as well as the Ensembl Genome ones. PICR can be accessed at http://www.ebi.ac.uk/Tools/picr/.
蛋白质标识符交叉引用(PICR)服务是一个工具,允许用户在超过 100 个不同的源数据库中映射蛋白质标识符、蛋白质序列和基因标识符。PICR 通过交互式网站以及表示状态转移(REST)和简单对象访问协议(SOAP)服务接受输入。它将结果返回为 HTML 页面、XLS 和 CSV 文件。自 2007 年以来,它一直在生产中,并最近进行了增强,以添加新功能并增加其涵盖的数据库数量。蛋白质子序列可以与 UniProt Knowledgebase(UniProtKB)进行基本局部比对搜索工具(BLAST),为标准 PICR 映射算法提供入口点。此外,现在可以将 UniProtKB 和 Ensembl 的基因标识符作为输入提交或映射为 PICR 的输出。我们还为 UniProt 实现了“最佳猜测”映射算法。在本文中,我们描述了 PICR 的有用性,这些更改是如何实现的,以及对 Web 服务的相应添加。最后,我们解释说,PICR 涵盖的源数据库数量从最初的 73 个增加到了现在的 102 个。新资源包括几个新的特定物种的 Ensembl 数据库以及 Ensembl 基因组数据库。可以在 http://www.ebi.ac.uk/Tools/picr/ 访问 PICR。