Inference and Visualization of Complex Genotype-Phenotype Maps.

ABSTRACT: Understanding how biological sequences give rise to observable traits, that is, how genotype maps to phenotype, is a central goal in biology. Yet, our knowledge of genotype-phenotype maps in natural systems remains limited by the high dimensionality of sequence space and the context-dependent effects of mutations. The emergence of Multiplex assays of variant effect (MAVEs) and the availability of ever growing collections of natural sequences offer new opportunities to characterize these maps at an unprecedented scale. However, tools for statistical and exploratory analyses of such high-dimensional data are still needed. To address this gap, we developed gpmap-tools (https://github.com/cmarti/gpmap-tools), a python library integrating models for inference, phenotypic imputation, and error e

SUBMITTER: Marti-Gomez C 

PROVIDER: S-EPMC12911936 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature