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Avida 数字进化平台本体论。

Ontology for the Avida digital evolution platform.

机构信息

Computational Biology Lab, Estación Biológica de Doñana (EBD), Spanish National Research Council (CSIC), Seville, Spain.

Instituto de Ciencias Marinas de Andalucía (ICMAN), Spanish National Research Council (CSIC), Puerto Real, Cádiz, Spain.

出版信息

Sci Data. 2023 Sep 9;10(1):608. doi: 10.1038/s41597-023-02514-3.

Abstract

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. OntoAvida is part of the Open Biological and Biomedical Ontologies (OBO Foundry) and is available at http://www.obofoundry.org/ontology/ontoavida.html .

摘要

Avida 的本体论(OntoAvida)旨在为描述 Avida 开发一个综合词汇表,Avida 是使用数字生物体(自我复制的计算机程序,在用户定义的计算环境中进化)进行实验进化的最广泛使用的计算方法。由于缺乏明确定义的词汇表,一些生物学家对数字进化领域感到不太愿意接受。这个集成框架通过为生物学家提供必要的工具来探索和分析数字进化领域,从而赋予他们权力。通过利用 Avida 的词汇表,研究人员可以更深入地了解数字生物体的进化过程和动态。此外,OntoAvida 允许研究人员根据某些规则和约束进行推理,促进计算机进化实验的可重复性,并跟踪存储在 avidaDB 中的数据的出处——这是一个包含超过一百万个数字生物体的基因组、转录组和表型的 RDF 数据库。OntoAvida 是开放生物和生物医学本体(OBO 基金会)的一部分,可在 http://www.obofoundry.org/ontology/ontoavida.html 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4bc/10492814/6e87c38fa50b/41597_2023_2514_Fig1_HTML.jpg

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