Functional Forms: A Synthetic Non-Deterministic Genotype-Phenotype Map Model

Nora S. Martin created a synthetic computational model for non-deterministic genotype-phenotype maps, shared on figshare. The dataset is a 5.5 KB Excel file last updated in May 2026. It is designed to reproduce key features of biophysical maps, such as phenotypic bias and genetic correlations, with a tuneable structure.

Use Cases

• Simulating evolutionary dynamics based on the model's reproduction of robustness-evolvability tradeoffs.
• Developing sampling methods for non-deterministic genotype-phenotype maps based on the synthetic map's structure.
• Extrapolating general principles of genotype-phenotype maps based on the model's few required ingredients.
• Testing theoretical predictions about genetic correlations and phenotypic bias in a controlled, computationally simpler environment.

Strengths

• Model is explicitly designed to reproduce central features of biophysical ND GP maps, including phenotypic bias and a robustness-evolvability tradeoff.
• File is small (5.5 KB) and in a widely accessible format (XLS), facilitating quick inspection and integration.
• Dataset is shared under a permissive CC-BY-4.0 license, allowing for broad reuse and modification.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is a synthetic model, not empirical biological data, which limits direct application to real-world systems.
• Scale is very limited (5.5 KB), suggesting the file likely contains model parameters or a small illustrative example rather than extensive simulation outputs.

Provenance

Source

figshare, authored by Nora S. Martin.

Collection Method

Computationally generated synthetic model.

Time Range

Publication date is 2026-05-22.

Freshness

Last updated 2026-05-22 17:45:05; freshness should be verified.

Geography

Global; no specific geographic scope.