MetaEntropy: Functional Shannon Entropy for Virome Mutational Analysis

Read full text
Authors: Leandro Roberto Jones, Julieta Marina Manrique
Cited by: 0
References: 12

Abstract

Estimates Shannon entropy, per gene and per genomic position, associated with non-synonymous mutation frequencies in viral populations, such as wastewater samples. The package uses codon translations for functional insights. Each amino acid can be treated as an individual state, resulting in a 20-state entropy computation, or grouped into one of six physicochemical classes, adding further functional context. Provides normalized values (0-1 scale) to facilitate the direct comparison of different genomic positions or total functional entropy across multiple metagenomes. Designed to analyze mutational data using tabular 'Single Nucleotide Variant' (SNV) frequency tables generated by variant callers (e.g., 'iVar' or 'LoFreq'), operating independently of consensus sequence estimation and multiple sequence alignment.

Fields of Study & Subjects

Genomics and Phylogenetic Studies Bacteriophages and microbial interactions Evolution and Genetic Dynamics

Publication details

Publication date
3 March 2026
Language
EN
Document type
Dataset