Abstract
We provide an algorithm for the construction and analysis of autocorrelation (information) functions of gene nucleotide sequences. As a measure of correlation between discrete ran-dom variables, we use normalized mutual information. The information functions are indic-ative of the degree of structuredness of gene sequences. We construct the information functions for selected gene sequences. We find a significant difference between information functions of genes of different types. We hypothesize that the features of information functions of gene nucleotide sequences are related to phenotypes of these genes.
| Original language | English |
|---|---|
| Article number | e41 |
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Genomics and Informatics |
| Volume | 18 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2020 |
Bibliographical note
Publisher Copyright:© 2020, Korea Genome Organization.
Keywords
- Gene sequence
- Gene structuredness
- Information function
- Information theory
- Normalized mutual information
