Transcription factor binding sites prediction based on sequence similarity

被引：0
|
作者：
Sim, Jeong Seop [1 ]
Park, Soo-Jun
机构：
[1] Inha Univ, Sch Comp Sci, Inchon, South Korea
[2] Elect & Telecommun Res Inst, Taejon 305606, South Korea
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS | 2006年 / 4223卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Sequence algorithms are widely used to study genomic sequences in such fields as DNA fragment assembly, genomic sequence similarities, motif search, etc. In this paper, we propose an algorithm that predicts transcription factor binding sites from a given set of sequences of upstream regions of genes using sequence algorithms, suffix arrays and the Smith-Waterman algorithm.
引用
收藏
页码：1058 / 1061
页数：4
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