MetaEntropy: Functional Shannon Entropy for Virome Mutational Analysis

Estimates Shannon entropy, per gene and per genomic position, associated with non-synonymous mutation frequencies in viral populations, such as wastewater samples or quasispecies. By categorizing amino acids based on their physicochemical properties, the package determines whether a mutation is functionally disruptive or neutral. 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.

install.packages("MetaEntropy")

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