Shannon Entropy Metrics of Intragenotype Sequence Conservation

Descriptive statistics of positional Shannon entropy within viral genotypes. The dataset includes metrics such as the number of analyzed positions, mean, median, standard deviation, quantiles, and conservation index. It was authored by Alan López Leal and last updated on May 15, 2026.

Use Cases

• Calculate conservation indices for viral genotypes based on entropy statistics.
• Compare intragenotype sequence variability using entropy-derived metrics.
• Identify conserved genomic positions within a genotype based on the percentage of positions with H = 0.
• Assess the coefficient of variation of entropy across different genes or genotypes.

Strengths

• The dataset provides multiple descriptive statistics per genotype, including mean, median, standard deviation, and quantiles.
• It is published under the permissive CC-BY-4.0 license.
• The description explicitly lists specific calculated metrics like the conservation index and entropy coefficient of variation.

Limitations

• The dataset is very small at 22.3 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Freshness

Last updated 2026-05-15 17:42:06; freshness should be verified.