Integrated entropy-based approach for analyzing exons and introns in DNA sequences.

ABSTRACT:

Background

Numerous essential algorithms and methods, including entropy-based quantitative methods, have been developed to analyze complex DNA sequences since the last decade. Exons and introns are the most notable components of DNA and their identification and prediction are always the focus of state-of-the-art research.

Results

In this study, we designed an integrated entropy-based analysis approach, which involves modified topological entropy calculation, genomic signal processing (GSP) method and singular value decomposition (SVD), to investigate exons and introns in DNA sequences. We optimized and implemented the topological entropy and the generalized topological entropy to calculate the complexity of DNA sequences, highlighting the characteristics of repetition sequen

SUBMITTER: Li J 

PROVIDER: S-EPMC6557737 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature