title: Classifying genomic sequences by sequence feature analysis.
abstract: Traditional sequence analysis depends on sequence alignment. In this study, we analyzed various functional regions of the human genome based on sequence features, including word frequency, dinucleotide relative abundance, and base-base correlation. We analyzed the human chromosome 22 and classified the upstream, exon, intron, downstream, and intergenic regions by principal component analysis and discriminant analysis of these features. The results show that we could classify the functional regions of genome based on sequence feature and discriminant analysis.
authors: State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.
authors: Zhi Hua
authors: ZH
authors: Liu
authors: Dian
authors: D
authors: Jiao
authors: Xiao
authors: X
authors: Sun