Suppr超能文献

议程:基于同源性的基因预测。

AGenDA: homology-based gene prediction.

作者信息

Taher Leila, Rinner Oliver, Garg Saurabh, Sczyrba Alexander, Brudno Michael, Batzoglou Serafim, Morgenstern Burkhard

机构信息

International Graduate School for Bioinformatics and Genome Research University of Bielefeld, Postfach 10 01 31, 33501 Bielefeld, Germany.

出版信息

Bioinformatics. 2003 Aug 12;19(12):1575-7. doi: 10.1093/bioinformatics/btg181.

Abstract

We present a www server for homology-based gene prediction. The user enters a pair of evolutionary related genomic sequences, for example from human and mouse. Our software system uses CHAOS and DIALIGN to calculate an alignment of the input sequences and then searches for conserved splicing signals and start/stop codons around regions of local sequence similarity. This way, candidate exons are identified that are used, in turn, to calculate optimal gene models. The server returns the constructed gene model by email, together with a graphical representation of the underlying genomic alignment.

摘要

我们展示了一个用于基于同源性的基因预测的万维网服务器。用户输入一对进化相关的基因组序列,例如来自人类和小鼠的序列。我们的软件系统使用CHAOS和DIALIGN来计算输入序列的比对,然后在局部序列相似性区域周围搜索保守的剪接信号和起始/终止密码子。通过这种方式,识别出候选外显子,进而用于计算最优基因模型。服务器通过电子邮件返回构建的基因模型,以及基础基因组比对的图形表示。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验