商
片段(逻辑)
序列(生物学)
计算机科学
重复序列
基因组
数学
组合数学
算法
拓扑(电路)
计算生物学
遗传学
生物
基因
作者
Pavel A. Pevzner,Haixu Tang,Glenn Tesler
标识
DOI:10.1145/974614.974643
摘要
Repetitive sequences make up a significant fraction of almost any genome and an important and still open question in bioinformatics is how to represent all repeats in DNA sequences. We propose a radically new approach to repeat classification that is motivated by the fundamental topological notion of quotient spaces. A torus or Klein bottle are examples of quotient spaces that can be obtained from a square by gluing some points. Our new repeat classification algorithm is based on the observation that the alignment-induced quotient space of a DNA sequence compactly represents all sequence repeats. This observation leads to a simple and efficient solution of the repeat classification problem as well as new approaches to fragment assembly and multiple alignment.
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