Positional Correlation Natural Vector: A Novel Method for Genome Comparison.

ABSTRACT: Advances in sequencing technology have made large amounts of biological data available. Evolutionary analysis of data such as DNA sequences is highly important in biological studies. As alignment methods are ineffective for analyzing large-scale data due to their inherently high costs, alignment-free methods have recently attracted attention in the field of bioinformatics. In this paper, we introduce a new positional correlation natural vector (PCNV) method that involves converting a DNA sequence into an 18-dimensional numerical feature vector. Using frequency and position correlation to represent the nucleotide distribution, it is possible to obtain a PCNV for a DNA sequence. This new numerical vector design uses six suitable features to characterize the correlation among nucleotide posit

SUBMITTER: He L 

PROVIDER: S-EPMC7312176 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature