Electrical & Computer Engineering, Department of
Document Type
Article
Date of this Version
10-11-2021
Citation
Newcomb, G.; Sayood, K. Use of Average Mutual Information and Derived Measures to Find Coding Regions. Entropy 2021, 23, 1324. https://doi.org/10.3390/ e23101324
Abstract
One of the important steps in the annotation of genomes is the identification of regions in the genome which code for proteins. One of the tools used by most annotation approaches is the use of signals extracted from genomic regions that can be used to identify whether the region is a protein coding region. Motivated by the fact that these regions are information bearing structures we propose signals based on measures motivated by the average mutual information for use in this task. We show that these signals can be used to identify coding and noncoding sequences with high accuracy. We also show that these signals are robust across species, phyla, and kingdom and can, therefore, be used in species agnostic genome annotation algorithms for identifying protein coding regions. These in turn could be used for gene identification.
Comments
Open access.