title: An estimator for local analysis of genome based on the minimal absent word.
abstract: This study presents an alternative alignment-free relative feature analysis method based on the minimal absent word, which has potential advantages over the local alignment method in local analysis. Smooth-local-analysis-curve and similarity-distribution are constructed for a fast, efficient, and visual comparison. Moreover, when the multi-sequence-comparison is needed, the local-analysis-curves can illustrate some interesting zones.
authors.affiliation: College of Sciences, Northeastern University, Wenhua Road, 110004 Shenyang, China. Electronic address: yanglp@mail.neu.edu.cn.
authors.forename: Lianping
authors.initials: L
authors.lastname: Yang
authors.affiliation: College of Sciences, Northeastern University, Wenhua Road, 110004 Shenyang, China. Electronic address: zhangxdneu@163.com.
authors.forename: Xiangde
authors.initials: X
authors.lastname: Zhang
authors.affiliation: College of Sciences, Northeastern University, Wenhua Road, 110004 Shenyang, China.
authors.forename: Haoyue
authors.initials: H
authors.lastname: Fu
authors.affiliation: School of Information Science and Engineering, Xiamen University, China.
authors.forename: Chenhui
authors.initials: C
authors.lastname: Yang
mesh_terms: D000818:Animals; D015894:Genome, Human; D006801:Humans; D008957:Models, Genetic; D017422:Sequence Analysis, DNA
keywords: Alignment-free; Relative feature; Visual comparison