Suppr超能文献

一种用于检测与生物学特征相关的重复和常见序列基序的定点比对技术。

A fixed-point alignment technique for detection of recurrent and common sequence motifs associated with biological features.

作者信息

Owens J, Chatterjee D, Nussinov R, Konopka A K, Maizel J V

机构信息

National Institutes of Health, National Cancer Institute, FCRF, Frederick, MD 21701.

出版信息

Comput Appl Biosci. 1988 Mar;4(1):73-7. doi: 10.1093/bioinformatics/4.1.73.

Abstract

A fixed-point alignment analysis technique is presented which is designed to locate common sequence motifs in collections of proteins or nucleic acids. Initially a program aligns a collection of sequences by a common sequence pattern or known biological feature. The common pattern or feature (fixed-point) may be a user-specified sequence string or a known sequence position like mRNA start site, which may be taken directly from the annotated feature table of GenBank. Once all alignment markers are located, the sequences are scanned for occurrences of given oligomers within a specified span both upstream and downstream of the fixed-point. The occurrences may then be plotted as a function of the position relative to the fixed-point, displayed as an actual sequence alignment or selectively summarized via various program options. Applications of the technique are discussed.

摘要

提出了一种定点比对分析技术,该技术旨在定位蛋白质或核酸集合中的共同序列基序。最初,一个程序通过共同的序列模式或已知的生物学特征比对一组序列。共同模式或特征(定点)可以是用户指定的序列字符串或已知的序列位置,如mRNA起始位点,它可以直接从GenBank的注释特征表中获取。一旦所有比对标记定位完成,就在定点的上下游指定范围内扫描序列中给定寡聚物的出现情况。然后可以将出现情况绘制为相对于定点位置的函数,显示为实际的序列比对,或通过各种程序选项进行选择性汇总。讨论了该技术的应用。

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