Large Scale Comparative Genomic Metrics of H5N1 Influenza A and SARS-CoV-2: Codon Usage, Nucleotide Composition, and Mutation Patterns (2024 - 2025)

This dataset provides standardized genomic metrics for H5N1 influenza A virus and SARS-CoV-2 (2024 - 2025), enabling co-evolutionary analyses of: Codon usage bias (Effective Number of Codons/Nc, Codon Adaptation Index/CAI, Codon Usage Bias/CUB) Nucleotide composition (PR2 strand asymmetry, GC3 content) Mutation burden (summary statistics: mean, median, min, max) Dinucleotide frequencies (CpG, UpA) Data Sources: H5N1: High-quality, near-full-length sequences (filter: ≥29,000 bp). SARS-CoV-2: Aligned to Wuhan-Hu-1 (NC_045512.2), filtered for completeness. Format: Tab-separated values (TSV) for each metric, with global summaries. Applications: Comparative viral genomics Evolutionary dynamics studies Baseline data for machine learning models in virology Ideal for researchers exploring cross-species viral adaptation or pandemic preparedness. Data processed and curation by [e-mail]