Sequence Comparison using Multi-Order Markov Chains
DNA sequences are often found to be composed of locally homogeneous segments that are functionally important. Most sequence comparison methods do not consider such a compositional property. We introduce a new method that takes this issue into consideration. With our method, the information of a DNA sequence is first transformed into a multi-order transition matrix (MTM); the resulting matrices are then used to compute pair-wise distances; and the consequent distances are used to construct molecular phylogeny. Experiments with both simulated and real datasets show that the proposed method is able to reconstruct phylogenies consistent with those pre-defined or commonly accepted phylogenies.
Xiang Fang Guoqing Lu Shunpu Zhang
Department of Statistics University of Nebraska Lincoln Lincoln, NE 68583-0963, USA Department of Biology University of Nebraska at Omaha Omaha, NE 68182-0040
国际会议
成都
英文
1-5
2010-06-18(万方平台首次上网日期,不代表论文的发表时间)