OntoAvida: ontology for Avida digital evolution platform

OntoAvida develops an integrated vocabulary for the description of the most widely-used computational approach for studying evolution using digital organisms (i.e., self-replicating computer programs that evolve within a user-defined computational environment).

OntoBee AberOWL OLS Human-readable (HTML) Bioregistry

The Ontology for Avida (OntoAvida) aims to develop an integrated vocabulary for the description of Avida, the most widely used computational approach for performing experimental evolution using digital organisms–self-replicating computer programs that evolve within a user-defined computational environment. The lack of a clearly defined vocabulary makes some biologists feel reluctant to embrace the field of digital evolution. This integrated framework empowers biologists by equipping them with the necessary tools to explore and analyze the field of digital evolution more effectively. By leveraging the vocabulary of Avida, researchers can gain deeper insights into the evolutionary processes and dynamics of digital organisms. In addition, OntoAvida allows researchers to make inference based on certain rules and constraints, facilitate the reproducibility of in silico evolution experiments and trace the provenance of the data stored in avidaDB–an RDF database containing the genomes, transcriptomes, and phenotypes of more than a million digital organisms.

Products
ontoavida.owl OWL The main ontology in OWL [page]
ontoavida.obo OBO Equivalent to ontoavida.owl, in obo format [page]
Usages
User
https://cran.r-project.org/package=avidaR
Description
An R package—avidaR—uses OntoAvida to perform complex queries on an RDF database—avidaDB—containing the genomes, transcriptomes, and phenotypes of more than a million digital organisms
Examples
avidaR: an R library to perform complex queries on an ontology-based database of digital organisms