Mitchell A L, Reich J R, Attwood T K
School of Biological Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Bioinformatics. 2003 Sep 1;19(13):1664-71. doi: 10.1093/bioinformatics/btg204.
There have been several endeavours to address the problem of annotating sequence data computationally, but the task is non-trivial and few tools have emerged that gather useful information on a given sequence, or set of sequences, in a simple and convenient manner. As more genome projects bear fruit, the mass of uncharacterized sequence data accumulating in public repositories grows ever larger. There is thus a pressing need for tools to support the process of automatic analysis and annotation of newly determined sequences. With this in mind, we have developed PRECIS, which automatically creates protein reports from sets of SWISS-PROT entries, collating results into structured reports, detailing known biological and medical information, literature and database cross-references, and relevant keywords.
已经有多种尝试通过计算来解决序列数据注释的问题,但这项任务并非易事,很少有工具能够以简单便捷的方式收集给定序列或序列集的有用信息。随着越来越多的基因组计划取得成果,公共数据库中积累的未表征序列数据量越来越大。因此,迫切需要工具来支持新测定序列的自动分析和注释过程。考虑到这一点,我们开发了PRECIS,它能根据SWISS-PROT条目的集合自动生成蛋白质报告,将结果整理成结构化报告,详细列出已知的生物学和医学信息、文献及数据库交叉引用以及相关关键词。