A new gene tree algorithm employing DNA sequences of bovine genome using discrete Fourier transformation.

ABSTRACT: Within the realms of human thoughts on nature, Fourier analysis is considered as one of the greatest ideas currently put forwarded. The Fourier transform shows that any periodic function can be rewritten as the sum of sinusoidal functions. Having a Fourier transform view on real-world problems like the DNA sequence of genes, would make things intuitively simple to understand in comparison with their initial formal domain view. In this study we used discrete Fourier transform (DFT) on DNA sequences of a set of genes in the bovine genome known to govern milk production, in order to develop a new gene clustering algorithm. The implementation of this algorithm is very user-friendly and requires only simple routine mathematical operations. By transforming the configuration of gene sequences int

SUBMITTER: Abadeh R 

PROVIDER: S-EPMC9997877 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature